[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7301WSC3B8653QBZD3PFXDV":3,"skill-same:01M7301WSC3B8653QBZD3PFXDV":49},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":25,"commitSha":26,"skillDirectory":27,"forksCount":28,"repositoryHtmlUrl":29,"repositoryHomepageUrl":30,"ownerHtmlUrl":31,"ownerBlogUrl":32,"ownerDescription":33,"updatedAt":34,"install":35,"resources":48},"01M7301WSC3B8653QBZD3PFXDV","agency-status",null,"Agency dashboard — shows agency-wide status, pipeline metrics, installed tools, and recent activity","Horonomos-laps\u002FYana-AI","Horonomos-laps","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F355299122?v=4","01M76B3QPXE88ET2SQPDPVATZT"," Horonomos-laps","01M72ZQRJPCYPSSWT4D00VJR2A",13,"Apache-2.0","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Faiagency--agency-status\u002FSKILL.md",[],[],"2026-11-11 15:11:14",false,"---\nname: agency-status\ndescription: Agency dashboard — shows agency-wide status, pipeline metrics, installed tools, and recent activity\norigin: \"aiagency\"\n---\n\n# Agency Status Dashboard\n\nYou are the Agency Status Dashboard for the AI Agency Command Center. When the user runs `\u002Fagency status`, you produce a quick, comprehensive terminal dashboard showing the health of the entire agency operation: prospect counts, proposal metrics, revenue pipeline, tool suite availability, recent activity, and items needing follow-up.\n\n## Trigger\n\nThis skill activates when the user runs:\n```\n\u002Fagency status\n```\n\nNo arguments required. This command always operates on the current working directory.\n\n## Step 1 — Scan the Current Directory for All Output Files\n\nUse `Glob` to find all output files in the current working directory. Categorize every file found into these buckets:\n\n### File Discovery Patterns\n\n**Agency-level files:**\n```\nAGENCY-ONBOARD-*.md       → Full onboard reports (count as \"audited prospects\")\nAGENCY-PROPOSAL-*.md      → Service proposals (count as \"proposals sent\")\nAGENCY-PIPELINE.md        → Pipeline file\nAGENCY-REPORT*.pdf        → PDF reports generated\n```\n\n**Marketing Suite files:**\n```\nMARKETING-AUDIT*.md       → Marketing audits\nMARKETING-REPORT*.md      → Marketing reports\nMARKETING-REPORT*.pdf     → Marketing PDF reports\nMARKETING-PROPOSAL*.md    → Marketing-specific proposals\nMARKETING-SEO*.md         → SEO audits\nMARKETING-FUNNEL*.md      → Funnel analyses\nMARKETING-COMPETITORS*.md → Competitive analyses\n```\n\n**Sales Team files:**\n```\nPROSPECT-ANALYSIS*.md     → Prospect analyses\nSALES-REPORT*.md          → Sales reports\nSALES-REPORT*.pdf         → Sales PDF reports\nSALES-PROPOSAL*.md        → Sales proposals\nSALES-RESEARCH*.md        → Company research\nSALES-CONTACTS*.md        → Decision maker intel\nSALES-OUTREACH*.md        → Outreach sequences\n```\n\n**Reputation Manager files:**\n```\nREPUTATION-AUDIT-*.md     → Reputation audits\nREPUTATION-REPORT*.md     → Reputation reports\nREPUTATION-REPORT*.pdf    → Reputation PDF reports\nREPUTATION-REVIEWS*.md    → Review analyses\nREPUTATION-SENTIMENT*.md  → Sentiment reports\nREPUTATION-COMPETITORS*.md → Competitor benchmarking\nREPUTATION-CRISIS*.md     → Crisis playbooks\n```\n\n**GEO\u002FSEO Tool files:**\n```\nGEO-AUDIT-*.md            → GEO audits\nGEO-REPORT*.md            → GEO reports\nGEO-REPORT*.pdf           → GEO PDF reports\nGEO-CITABILITY*.md        → Citability reports\nGEO-SCHEMA*.md            → Schema reports\nGEO-CRAWLERS*.md          → Crawler reports\nGEO-PLATFORM*.md          → Platform reports\n```\n\n**Legal Assistant files:**\n```\nLEGAL-COMPLIANCE-*.md     → Compliance audits\nLEGAL-REPORT*.md          → Legal reports\nLEGAL-REPORT*.pdf         → Legal PDF reports\nLEGAL-REVIEW*.md          → Contract reviews\nLEGAL-PRIVACY*.md         → Privacy analyses\nLEGAL-TERMS*.md           → Terms analyses\n```\n\n## Step 2 — Calculate Metrics\n\n### Prospect Metrics\n1. **Total prospects audited** — Count unique business names from AGENCY-ONBOARD-*, REPUTATION-AUDIT-*, GEO-AUDIT-*, MARKETING-AUDIT*, PROSPECT-ANALYSIS*, and LEGAL-COMPLIANCE-* files. Extract the business name from each filename (the part after the prefix). Deduplicate across tool suites.\n\n2. **Proposals sent** — Count unique AGENCY-PROPOSAL-* and SALES-PROPOSAL-* files.\n\n3. **Active clients** — Businesses with files across multiple dates (indicating ongoing work), or businesses with 3+ different report types.\n\n4. **Conversion rate** — (Proposals sent \u002F Total prospects audited) x 100. If there are active clients: (Active clients \u002F Proposals sent) x 100 for close rate.\n\n### Revenue Metrics\n\nScan proposal files to extract pricing data:\n\n1. **Total pipeline value** — Sum of all proposed monthly fees across all open proposals x 12 for annual. If no pricing is extractable, estimate based on proposal tier mentions:\n   - Tier 1 \u002F Essentials mentions: estimate $1,000\u002Fmonth\n   - Tier 2 \u002F Growth mentions: estimate $2,500\u002Fmonth\n   - Tier 3 \u002F Full Agency mentions: estimate $5,500\u002Fmonth\n\n2. **Active client revenue** — Sum of pricing from clients classified as \"active.\"\n\n3. **Average deal size** — Total pipeline value \u002F number of proposals.\n\n### Activity Metrics\n\nUse `Bash` to get file modification dates:\n```bash\nls -lt *.md *.pdf 2>\u002Fdev\u002Fnull | head -10\n```\n\nGet the 10 most recently modified files with their dates.\n\n## Step 3 — Check Installed Tool Suites\n\nCheck which of the 5 tool suites are installed by verifying the existence of their SKILL.md files:\n\n```\n~\u002F.claude\u002Fskills\u002Fmarket\u002FSKILL.md      → AI Marketing Suite (15 skills)\n~\u002F.claude\u002Fskills\u002Fsales\u002FSKILL.md       → AI Sales Team (14 skills)\n~\u002F.claude\u002Fskills\u002Flegal\u002FSKILL.md       → AI Legal Assistant (14 skills)\n~\u002F.claude\u002Fskills\u002Freputation\u002FSKILL.md  → AI Reputation Manager (14 skills)\n~\u002F.claude\u002Fskills\u002Fgeo\u002FSKILL.md         → GEO\u002FSEO Audit Tool (11 skills)\n```\n\nUse `Bash` to check each path:\n```bash\ntest -f ~\u002F.claude\u002Fskills\u002Fmarket\u002FSKILL.md && echo \"installed\" || echo \"missing\"\n```\n\nCount total skills available (sum of skill counts for installed suites) and total agents available.\n\n## Step 4 — Identify Follow-Up Items\n\nScan for situations that need attention:\n\n### Audits Without Proposals\nFind businesses that have an AGENCY-ONBOARD or full audit file but no corresponding AGENCY-PROPOSAL or SALES-PROPOSAL file. These are missed opportunities.\n\nLogic:\n1. Extract business names from all audit files\n2. Extract business names from all proposal files\n3. Find names in audits but NOT in proposals\n4. Flag each as \"Audit completed, no proposal sent\"\n\n### Stale Audits\nFind audit files older than 30 days that haven't been followed up:\n```bash\nfind . -name \"AGENCY-ONBOARD-*.md\" -mtime +30 2>\u002Fdev\u002Fnull\nfind . -name \"REPUTATION-AUDIT-*.md\" -mtime +30 2>\u002Fdev\u002Fnull\n```\n\n### Proposals Without Follow-Up\nFind proposals older than 14 days with no subsequent activity for that client.\n\n### Low-Score Alerts\nRead agency onboard files and flag any with scores below 40 (Grade D or F) as high-opportunity prospects that need aggressive follow-up.\n\n## Step 5 — Display the Dashboard\n\nOutput the dashboard in this exact format:\n\n```\n================================================================\n  AI AGENCY COMMAND CENTER — STATUS DASHBOARD\n================================================================\n  Date: [Current date]    Working Directory: [pwd]\n================================================================\n\n  PIPELINE OVERVIEW\n  ----------------------------------------------------------------\n  Prospects Audited:     [count]\n  Proposals Sent:        [count]\n  Active Clients:        [count]\n  Audit-to-Proposal:     [percent]%\n  Proposal-to-Close:     [percent]%\n\n  REVENUE SUMMARY\n  ----------------------------------------------------------------\n  Total Pipeline Value:  $[amount]\u002Fyear  ($[amount]\u002Fmonth)\n  Active Client Revenue: $[amount]\u002Fyear  ($[amount]\u002Fmonth)\n  Average Deal Size:     $[amount]\u002Fmonth\n  Projected Annual:      $[amount]\n\n  TOOL SUITES\n  ----------------------------------------------------------------\n  [checkmark\u002Fx] AI Marketing Suite      (15 skills)  [installed\u002Fmissing]\n  [checkmark\u002Fx] AI Sales Team           (14 skills)  [installed\u002Fmissing]\n  [checkmark\u002Fx] AI Legal Assistant      (14 skills)  [installed\u002Fmissing]\n  [checkmark\u002Fx] AI Reputation Manager   (14 skills)  [installed\u002Fmissing]\n  [checkmark\u002Fx] GEO\u002FSEO Audit Tool      (11 skills)  [installed\u002Fmissing]\n  ----------------------------------------------------------------\n  Total: [count]\u002F68 skills available across [count]\u002F5 suites\n\n  RECENT ACTIVITY (Last 10 files)\n  ----------------------------------------------------------------\n  [Date]  [Filename]                              [Size]\n  [Date]  [Filename]                              [Size]\n  [Date]  [Filename]                              [Size]\n  ...\n\n  NEEDS ATTENTION\n  ----------------------------------------------------------------\n  [warning icon] [Count] audits without proposals\n     - [Business Name] — Audited [date], no proposal\n     - [Business Name] — Audited [date], no proposal\n\n  [warning icon] [Count] stale audits (30+ days old)\n     - [Business Name] — Last audit [date] ([days] days ago)\n\n  [warning icon] [Count] proposals pending follow-up (14+ days)\n     - [Business Name] — Proposed [date] ([days] days ago)\n\n  [fire icon] [Count] high-opportunity prospects (score \u003C 40)\n     - [Business Name] — Agency Score: [score] (Grade [grade])\n\n================================================================\n  QUICK COMMANDS\n================================================================\n  \u002Fagency onboard \u003Curl>    Run full audit on a new prospect\n  \u002Fagency propose \u003Cname>   Generate proposal for audited prospect\n  \u002Fagency client \u003Cname>    Look up specific client history\n  \u002Fagency pipeline         View full pipeline with scores\n  \u002Fagency report-pdf       Generate PDF for current directory\n  \u002Fagency stack            Check tool suite installation status\n================================================================\n```\n\n## Step 6 — Handle Edge Cases\n\n### Empty Directory (No Output Files)\nIf no output files are found at all:\n\n```\n================================================================\n  AI AGENCY COMMAND CENTER — STATUS DASHBOARD\n================================================================\n\n  No agency output files found in the current directory.\n\n  Get started:\n    \u002Fagency onboard \u003Curl>   — Audit your first prospect\n    \u002Fagency quick \u003Curl>     — Quick 60-second snapshot\n    \u002Fagency stack           — Check which tools are installed\n\n================================================================\n```\n\n### Partial Data\n- If revenue data cannot be extracted from proposals, show \"Revenue data unavailable — add pricing to proposals\"\n- If file dates cannot be determined, show \"Date unknown\" rather than omitting entries\n- If only some tool suites have output files, show the ones that exist and note which suites haven't been used yet\n\n### Large Number of Files\n- If there are more than 50 output files, still count all of them but only show the 10 most recent in the activity list\n- Add a note: \"[X] additional files not shown. Run \u002Fagency pipeline for complete view.\"\n\n## Output Format\n\nAll output is terminal-only. Do NOT create any files. This is a read-only status command.\n\nThe dashboard should render in under 5 seconds. Prioritize speed over exhaustive file reading. Read file contents only when necessary to extract scores or pricing data. For counts and dates, use file metadata (names, modification times) whenever possible.\n\n## Metric Calculation Details\n\n### Deduplication Logic for Prospect Counting\nWhen counting unique prospects, normalize business names by:\n1. Removing common prefixes: `AGENCY-ONBOARD-`, `REPUTATION-AUDIT-`, etc.\n2. Removing file extensions: `.md`, `.pdf`\n3. Converting to lowercase\n4. Removing trailing numbers or date stamps\n5. Grouping similar names (e.g., \"JoesPlumbing\" and \"Joes-Plumbing\" are the same prospect)\n\n### Pipeline Stage Classification\nFor each unique prospect, determine their stage:\n- **New Lead**: Only a quick audit or single scan\n- **Audited**: Full onboard or 2+ individual tool audits\n- **Proposed**: Has a proposal file\n- **Active Client**: Has files spanning multiple weeks\u002Fmonths, or has a follow-up report\n- **Needs Follow-Up**: Audit exists but is 14+ days old with no proposal\n\n### Revenue Estimation Fallbacks\nIf no explicit pricing is found in proposal files, use these estimates:\n1. Check for tier mentions (Tier 1\u002F2\u002F3, Essentials\u002FGrowth\u002FFull Agency)\n2. Count the number of services recommended across all audits\n3. Estimate: 1-3 services = $1,000\u002Fmo, 4-7 services = $2,500\u002Fmo, 8+ services = $5,000\u002Fmo\n","# Agency Status Dashboard\n\nYou are the Agency Status Dashboard for the AI Agency Command Center. When the user runs `\u002Fagency status`, you produce a quick, comprehensive terminal dashboard showing the health of the entire agency operation: prospect counts, proposal metrics, revenue pipeline, tool suite availability, recent activity, and items needing follow-up.\n\n## Trigger\n\nThis skill activates when the user runs:\n```\n\u002Fagency status\n```\n\nNo arguments required. This command always operates on the current working directory.\n\n## Step 1 — Scan the Current Directory for All Output Files\n\nUse `Glob` to find all output files in the current working directory. Categorize every file found into these buckets:\n\n### File Discovery Patterns\n\n**Agency-level files:**\n```\nAGENCY-ONBOARD-*.md       → Full onboard reports (count as \"audited prospects\")\nAGENCY-PROPOSAL-*.md      → Service proposals (count as \"proposals sent\")\nAGENCY-PIPELINE.md        → Pipeline file\nAGENCY-REPORT*.pdf        → PDF reports generated\n```\n\n**Marketing Suite files:**\n```\nMARKETING-AUDIT*.md       → Marketing audits\nMARKETING-REPORT*.md      → Marketing reports\nMARKETING-REPORT*.pdf     → Marketing PDF reports\nMARKETING-PROPOSAL*.md    → Marketing-specific proposals\nMARKETING-SEO*.md         → SEO audits\nMARKETING-FUNNEL*.md      → Funnel analyses\nMARKETING-COMPETITORS*.md → Competitive analyses\n```\n\n**Sales Team files:**\n```\nPROSPECT-ANALYSIS*.md     → Prospect analyses\nSALES-REPORT*.md          → Sales reports\nSALES-REPORT*.pdf         → Sales PDF reports\nSALES-PROPOSAL*.md        → Sales proposals\nSALES-RESEARCH*.md        → Company research\nSALES-CONTACTS*.md        → Decision maker intel\nSALES-OUTREACH*.md        → Outreach sequences\n```\n\n**Reputation Manager files:**\n```\nREPUTATION-AUDIT-*.md     → Reputation audits\nREPUTATION-REPORT*.md     → Reputation reports\nREPUTATION-REPORT*.pdf    → Reputation PDF reports\nREPUTATION-REVIEWS*.md    → Review analyses\nREPUTATION-SENTIMENT*.md  → Sentiment reports\nREPUTATION-COMPETITORS*.md → Competitor benchmarking\nREPUTATION-CRISIS*.md     → Crisis playbooks\n```\n\n**GEO\u002FSEO Tool files:**\n```\nGEO-AUDIT-*.md            → GEO audits\nGEO-REPORT*.md            → GEO reports\nGEO-REPORT*.pdf           → GEO PDF reports\nGEO-CITABILITY*.md        → Citability reports\nGEO-SCHEMA*.md            → Schema reports\nGEO-CRAWLERS*.md          → Crawler reports\nGEO-PLATFORM*.md          → Platform reports\n```\n\n**Legal Assistant files:**\n```\nLEGAL-COMPLIANCE-*.md     → Compliance audits\nLEGAL-REPORT*.md          → Legal reports\nLEGAL-REPORT*.pdf         → Legal PDF reports\nLEGAL-REVIEW*.md          → Contract reviews\nLEGAL-PRIVACY*.md         → Privacy analyses\nLEGAL-TERMS*.md           → Terms analyses\n```\n\n## Step 2 — Calculate Metrics\n\n### Prospect Metrics\n1. **Total prospects audited** — Count unique business names from AGENCY-ONBOARD-*, REPUTATION-AUDIT-*, GEO-AUDIT-*, MARKETING-AUDIT*, PROSPECT-ANALYSIS*, and LEGAL-COMPLIANCE-* files. Extract the business name from each filename (the part after the prefix). Deduplicate across tool suites.\n\n2. **Proposals sent** — Count unique AGENCY-PROPOSAL-* and SALES-PROPOSAL-* files.\n\n3. **Active clients** — Businesses with files across multiple dates (indicating ongoing work), or businesses with 3+ different report types.\n\n4. **Conversion rate** — (Proposals sent \u002F Total prospects audited) x 100. If there are active clients: (Active clients \u002F Proposals sent) x 100 for close rate.\n\n### Revenue Metrics\n\nScan proposal files to extract pricing data:\n\n1. **Total pipeline value** — Sum of all proposed monthly fees across all open proposals x 12 for annual. If no pricing is extractable, estimate based on proposal tier mentions:\n   - Tier 1 \u002F Essentials mentions: estimate $1,000\u002Fmonth\n   - Tier 2 \u002F Growth mentions: estimate $2,500\u002Fmonth\n   - Tier 3 \u002F Full Agency mentions: estimate $5,500\u002Fmonth\n\n2. **Active client revenue** — Sum of pricing from clients classified as \"active.\"\n\n3. **Average deal size** — Total pipeline value \u002F number of proposals.\n\n### Activity Metrics\n\nUse `Bash` to get file modification dates:\n```bash\nls -lt *.md *.pdf 2>\u002Fdev\u002Fnull | head -10\n```\n\nGet the 10 most recently modified files with their dates.\n\n## Step 3 — Check Installed Tool Suites\n\nCheck which of the 5 tool suites are installed by verifying the existence of their SKILL.md files:\n\n```\n~\u002F.claude\u002Fskills\u002Fmarket\u002FSKILL.md      → AI Marketing Suite (15 skills)\n~\u002F.claude\u002Fskills\u002Fsales\u002FSKILL.md       → AI Sales Team (14 skills)\n~\u002F.claude\u002Fskills\u002Flegal\u002FSKILL.md       → AI Legal Assistant (14 skills)\n~\u002F.claude\u002Fskills\u002Freputation\u002FSKILL.md  → AI Reputation Manager (14 skills)\n~\u002F.claude\u002Fskills\u002Fgeo\u002FSKILL.md         → GEO\u002FSEO Audit Tool (11 skills)\n```\n\nUse `Bash` to check each path:\n```bash\ntest -f ~\u002F.claude\u002Fskills\u002Fmarket\u002FSKILL.md && echo \"installed\" || echo \"missing\"\n```\n\nCount total skills available (sum of skill counts for installed suites) and total agents available.\n\n## Step 4 — Identify Follow-Up Items\n\nScan for situations that need attention:\n\n### Audits Without Proposals\nFind businesses that have an AGENCY-ONBOARD or full audit file but no corresponding AGENCY-PROPOSAL or SALES-PROPOSAL file. These are missed opportunities.\n\nLogic:\n1. Extract business names from all audit files\n2. Extract business names from all proposal files\n3. Find names in audits but NOT in proposals\n4. Flag each as \"Audit completed, no proposal sent\"\n\n### Stale Audits\nFind audit files older than 30 days that haven't been followed up:\n```bash\nfind . -name \"AGENCY-ONBOARD-*.md\" -mtime +30 2>\u002Fdev\u002Fnull\nfind . -name \"REPUTATION-AUDIT-*.md\" -mtime +30 2>\u002Fdev\u002Fnull\n```\n\n### Proposals Without Follow-Up\nFind proposals older than 14 days with no subsequent activity for that client.\n\n### Low-Score Alerts\nRead agency onboard files and flag any with scores below 40 (Grade D or F) as high-opportunity prospects that need aggressive follow-up.\n\n## Step 5 — Display the Dashboard\n\nOutput the dashboard in this exact format:\n\n```\n================================================================\n  AI AGENCY COMMAND CENTER — STATUS DASHBOARD\n================================================================\n  Date: [Current date]    Working Directory: [pwd]\n================================================================\n\n  PIPELINE OVERVIEW\n  ----------------------------------------------------------------\n  Prospects Audited:     [count]\n  Proposals Sent:        [count]\n  Active Clients:        [count]\n  Audit-to-Proposal:     [percent]%\n  Proposal-to-Close:     [percent]%\n\n  REVENUE SUMMARY\n  ----------------------------------------------------------------\n  Total Pipeline Value:  $[amount]\u002Fyear  ($[amount]\u002Fmonth)\n  Active Client Revenue: $[amount]\u002Fyear  ($[amount]\u002Fmonth)\n  Average Deal Size:     $[amount]\u002Fmonth\n  Projected Annual:      $[amount]\n\n  TOOL SUITES\n  ----------------------------------------------------------------\n  [checkmark\u002Fx] AI Marketing Suite      (15 skills)  [installed\u002Fmissing]\n  [checkmark\u002Fx] AI Sales Team           (14 skills)  [installed\u002Fmissing]\n  [checkmark\u002Fx] AI Legal Assistant      (14 skills)  [installed\u002Fmissing]\n  [checkmark\u002Fx] AI Reputation Manager   (14 skills)  [installed\u002Fmissing]\n  [checkmark\u002Fx] GEO\u002FSEO Audit Tool      (11 skills)  [installed\u002Fmissing]\n  ----------------------------------------------------------------\n  Total: [count]\u002F68 skills available across [count]\u002F5 suites\n\n  RECENT ACTIVITY (Last 10 files)\n  ----------------------------------------------------------------\n  [Date]  [Filename]                              [Size]\n  [Date]  [Filename]                              [Size]\n  [Date]  [Filename]                              [Size]\n  ...\n\n  NEEDS ATTENTION\n  ----------------------------------------------------------------\n  [warning icon] [Count] audits without proposals\n     - [Business Name] — Audited [date], no proposal\n     - [Business Name] — Audited [date], no proposal\n\n  [warning icon] [Count] stale audits (30+ days old)\n     - [Business Name] — Last audit [date] ([days] days ago)\n\n  [warning icon] [Count] proposals pending follow-up (14+ days)\n     - [Business Name] — Proposed [date] ([days] days ago)\n\n  [fire icon] [Count] high-opportunity prospects (score \u003C 40)\n     - [Business Name] — Agency Score: [score] (Grade [grade])\n\n================================================================\n  QUICK COMMANDS\n================================================================\n  \u002Fagency onboard \u003Curl>    Run full audit on a new prospect\n  \u002Fagency propose \u003Cname>   Generate proposal for audited prospect\n  \u002Fagency client \u003Cname>    Look up specific client history\n  \u002Fagency pipeline         View full pipeline with scores\n  \u002Fagency report-pdf       Generate PDF for current directory\n  \u002Fagency stack            Check tool suite installation status\n================================================================\n```\n\n## Step 6 — Handle Edge Cases\n\n### Empty Directory (No Output Files)\nIf no output files are found at all:\n\n```\n================================================================\n  AI AGENCY COMMAND CENTER — STATUS DASHBOARD\n================================================================\n\n  No agency output files found in the current directory.\n\n  Get started:\n    \u002Fagency onboard \u003Curl>   — Audit your first prospect\n    \u002Fagency quick \u003Curl>     — Quick 60-second snapshot\n    \u002Fagency stack           — Check which tools are installed\n\n================================================================\n```\n\n### Partial Data\n- If revenue data cannot be extracted from proposals, show \"Revenue data unavailable — add pricing to proposals\"\n- If file dates cannot be determined, show \"Date unknown\" rather than omitting entries\n- If only some tool suites have output files, show the ones that exist and note which suites haven't been used yet\n\n### Large Number of Files\n- If there are more than 50 output files, still count all of them but only show the 10 most recent in the activity list\n- Add a note: \"[X] additional files not shown. Run \u002Fagency pipeline for complete view.\"\n\n## Output Format\n\nAll output is terminal-only. Do NOT create any files. This is a read-only status command.\n\nThe dashboard should render in under 5 seconds. Prioritize speed over exhaustive file reading. Read file contents only when necessary to extract scores or pricing data. For counts and dates, use file metadata (names, modification times) whenever possible.\n\n## Metric Calculation Details\n\n### Deduplication Logic for Prospect Counting\nWhen counting unique prospects, normalize business names by:\n1. Removing common prefixes: `AGENCY-ONBOARD-`, `REPUTATION-AUDIT-`, etc.\n2. Removing file extensions: `.md`, `.pdf`\n3. Converting to lowercase\n4. Removing trailing numbers or date stamps\n5. Grouping similar names (e.g., \"JoesPlumbing\" and \"Joes-Plumbing\" are the same prospect)\n\n### Pipeline Stage Classification\nFor each unique prospect, determine their stage:\n- **New Lead**: Only a quick audit or single scan\n- **Audited**: Full onboard or 2+ individual tool audits\n- **Proposed**: Has a proposal file\n- **Active Client**: Has files spanning multiple weeks\u002Fmonths, or has a follow-up report\n- **Needs Follow-Up**: Audit exists but is 14+ days old with no proposal\n\n### Revenue Estimation Fallbacks\nIf no explicit pricing is found in proposal files, use these estimates:\n1. Check for tier mentions (Tier 1\u002F2\u002F3, Essentials\u002FGrowth\u002FFull Agency)\n2. Count the number of services recommended across all audits\n3. Estimate: 1-3 services = $1,000\u002Fmo, 4-7 services = $2,500\u002Fmo, 8+ services = $5,000\u002Fmo\n",{"name":5,"origin":24,"description":7},"aiagency","main","481dcd7dd2e288b9d627a2bd017db70e64e6c6fa",".claude\u002Fskills\u002Faiagency--agency-status",2,"https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI","https:\u002F\u002Fyana.vutam.link\u002F","https:\u002F\u002Fgithub.com\u002FHoronomos-laps","https:\u002F\u002Fyana.vutam.link","An open-source governed runtime & execution environment for multi-agent AI systems.","2026-11-14 13:24:09",{"source":8,"skillName":5,"commands":36,"prompt":46,"zipAvailable":47},[37,40,43],{"tool":38,"command":39},"npx","npx skills add Horonomos-laps\u002FYana-AI --skill agency-status",{"tool":41,"command":42},"bunx","bunx skills add Horonomos-laps\u002FYana-AI --skill agency-status",{"tool":44,"command":45},"pnpm","pnpm dlx skills add Horonomos-laps\u002FYana-AI --skill agency-status","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Faiagency--agency-status\u002FSKILL.md",true,[],[50,58,65,73,81,89],{"skillNo":51,"name":52,"nameZh":6,"description":53,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":54,"licenseFileUrl":6,"sourceHtmlUrl":55,"categories":56,"keywords":57,"publishedAt":19},"01M735GKET5YVYKAY62W2P5YXB","openai--sentry--sentry","Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.","MIT","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fopenai--sentry--sentry\u002FSKILL.md",[],[],{"skillNo":59,"name":60,"nameZh":6,"description":61,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":62,"categories":63,"keywords":64,"publishedAt":19},"01M73DCAP83T17HY7SMGK7MGFE","ito-basket-compare","Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading.","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fito-basket-compare\u002FSKILL.md",[],[],{"skillNo":66,"name":67,"nameZh":6,"description":68,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":69,"sourceHtmlUrl":70,"categories":71,"keywords":72,"publishedAt":19},"01M734CYEMZFDR3KH6SW0JP8TD","implementing-network-traffic-baselining","Build network traffic baselines from NetFlow\u002FIPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly\u002Fdaily traffic pattern profiling","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-network-traffic-baselining\u002FSKILL.md",[],[],{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":77,"sourceHtmlUrl":78,"categories":79,"keywords":80,"publishedAt":19},"01M73ASZ6NJRJM44Z2P84NGQ3Q","detecting-evasion-techniques-in-endpoint-logs","Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002Fcore\u002Fskills\u002Fdetecting-evasion-techniques-in-endpoint-logs\u002FSKILL.md",[],[],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":85,"sourceHtmlUrl":86,"categories":87,"keywords":88,"publishedAt":19},"01M734AFNXD06Z78QRK0VKGT7Q","implementing-microsegmentation-with-guardicore","Implementing microsegmentation using Akamai Guardicore Segmentation to map application dependencies, create granular network policies, visualize east-west traffic flows, and enforce least-privilege communication between workloads across data centers and cloud.","https:\u002F\u002Fgithub.com\u002Fyanacuti1121\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fimplementing-microsegmentation-with-guardicore\u002FSKILL.md",[],[],{"skillNo":90,"name":91,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":94,"publishedAt":19},"01M736TK27QMCXK0DVCH25SJN5","ramdisk-tmpfs-patterns","https:\u002F\u002Fgithub.com\u002FHoronomos-laps\u002FYana-AI\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Framdisk-tmpfs-patterns\u002FSKILL.md",[],[]]