[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M75583F6PFF4MMXCFKB2BBXT":3,"skill-same:01M75583F6PFF4MMXCFKB2BBXT":43},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":18,"linkOnly":19,"markdownContent":20,"markdownBody":21,"frontMatter":22,"refName":23,"commitSha":24,"skillDirectory":25,"forksCount":13,"repositoryHtmlUrl":26,"repositoryHomepageUrl":6,"ownerHtmlUrl":27,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":28,"install":29,"resources":42},"01M75583F6PFF4MMXCFKB2BBXT","post-mortem",null,"\u002Fcs:post-mortem \u003Cdecision> — Honest retrospective on an executed decision, scored against original assumptions and dissent. Closes the strategic sprint loop.","msm47\u002FGitskil","msm47","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F288053465?v=4","01M754J0R2V3Q31DD8BV9CCDEN","01M754J0S8Q6Y7P0S3AYCY0YQ5",0,"MIT","https:\u002F\u002Fgithub.com\u002Fmsm47\u002FGitskil\u002Fblob\u002Fmain\u002Fc-level-advisor\u002Fc-level-agents\u002Fskills\u002Fpost-mortem\u002FSKILL.md",[],[],"2026-11-12 13:55:43",false,"---\nname: \"post-mortem\"\ndescription: \"\u002Fcs:post-mortem \u003Cdecision> — Honest retrospective on an executed decision, scored against original assumptions and dissent. Closes the strategic sprint loop.\"\n---\n\n# \u002Fcs:post-mortem — Honest Retrospective\n\n**Command:** `\u002Fcs:post-mortem \u003Cdecision-path>`\n\nCloses the strategic sprint loop. Scores a decision against the success and kill criteria written **before** the decision (not retro-fitted) and revisits the preserved dissent. This is the rigor that compounds over time.\n\n## Pipeline Position\n\n```\n\u002Fcs:office-hours  →  \u002Fcs:brief  →  \u002Fcs:boardroom  →  \u002Fcs:decide  →  \u002Fcs:execute  →  \u002Fcs:post-mortem\n                                                                                       ↑ you are here\n```\n\n## When to Run\n\n- At the 90-day checkpoint (auto-scheduled by `\u002Fcs:decide`)\n- When a kill criterion triggers\n- After a major decision is reversed\n- Quarterly on all decisions of the past quarter\n\n## Inputs\n\n- The decision record (output of `\u002Fcs:decide`)\n- The execution plan (output of `\u002Fcs:execute`)\n- Actual outcomes (metrics, events, customer signals)\n\n## Output: Post-Mortem Record\n\nSaved to `~\u002F.claude\u002Fpostmortems\u002FYYYY-MM-DD-\u003Cslug>.md`:\n\n```markdown\n# Post-Mortem: \u003Cdecision title>\n**Decision date:** YYYY-MM-DD\n**Post-mortem date:** YYYY-MM-DD\n**Status:** WIN \u002F PARTIAL \u002F LOSS \u002F MIXED\n\n## Outcome Scoring (against pre-committed criteria)\n\n| Success Criterion | Threshold | Actual | Met? |\n|---|---|---|---|\n| \u003Cmetric 1> | \u003Cthreshold> | \u003Cactual> | ✅ \u002F ❌ |\n| \u003Cmetric 2> | \u003Cthreshold> | \u003Cactual> | ✅ \u002F ❌ |\n\n| Kill Criterion | Threshold | Actual | Triggered? |\n|---|---|---|---|\n| \u003Cmetric> | \u003Cthreshold> | \u003Cactual> | ✅ \u002F ❌ |\n\n**Overall:** WIN \u002F PARTIAL \u002F LOSS \u002F MIXED\n\n## What We Got Right\n- \u003Cfactor 1>\n- \u003Cfactor 2>\n\n## What We Got Wrong\n- \u003Cfactor 1>\n- \u003Cfactor 2>\n\n## Preserved Dissent — Revisited\n[Original dissent from the boardroom memo, scored:]\n\n- **\u003Cdissenter>:** \u003Coriginal concern>\n  - **Did it materialize?** YES \u002F NO \u002F PARTIAL\n  - **Cost if YES:** \u003Cquantified impact>\n  - **Lesson:** \u003Cone sentence>\n\n## Assumption Audit\n[Original brief's assumptions, scored:]\n\n- **Assumption 1:** \u003Ctext>\n  - **Held?** YES \u002F NO \u002F PARTIAL\n  - **Why:** \u003Cexplanation>\n\n## Process Lessons\n- **Phase 2 isolation worked?** YES \u002F NO\n- **Devil's advocate concerns played out?** YES \u002F NO \u002F PARTIAL\n- **Cadence was right?** YES \u002F TOO LOOSE \u002F TOO TIGHT\n\n## Forward Actions\n- [ ] \u003Cchange to operating system or routing logic>\n- [ ] \u003Cnew decision to make based on this learning>\n- [ ] \u003Cupdate company-context.md>\n\n## Status\n- WIN → archive, log lesson\n- LOSS → schedule follow-up boardroom: `\u002Fcs:brief` for the next call\n```\n\n## Why Pre-Committed Criteria Matter\n\nThe biggest temptation in post-mortems is retroactive justification: \"we always knew X, that's why we did Y.\" Pre-committed criteria, signed at `\u002Fcs:decide` time, eliminate that move. The numbers either matched or they didn't.\n\n## Why Revisit Dissent\n\nThe dissent column from `\u002Fcs:boardroom` is the single most useful piece of organizational memory. Most of the time, the dissenter was directionally right. Revisiting and scoring it builds calibration over years.\n\n## Routing\n\n- `\u002Fcs:brief` — if the post-mortem surfaces a new decision\n- `\u002Fcs:freeze` — if the post-mortem reveals a process gap that needs cooldown enforcement\n- Updates to company-context.md via `cs-onboard`\n\n## Related\n\n- Skill: [`decision-logger`](..\u002F..\u002F..\u002Fskills\u002Fdecision-logger\u002FSKILL.md)\n- Agent: [`cs-chief-of-staff`](..\u002F..\u002Fagents\u002Fcs-chief-of-staff.md)\n- Sibling: [`\u002Fem:postmortem`](..\u002F..\u002F..\u002Fexecutive-mentor\u002Fskills\u002Fpostmortem\u002FSKILL.md) — adversarial single-decision post-mortem\n\n---\n\n**Version:** 1.0.0\n","# \u002Fcs:post-mortem — Honest Retrospective\n\n**Command:** `\u002Fcs:post-mortem \u003Cdecision-path>`\n\nCloses the strategic sprint loop. Scores a decision against the success and kill criteria written **before** the decision (not retro-fitted) and revisits the preserved dissent. This is the rigor that compounds over time.\n\n## Pipeline Position\n\n```\n\u002Fcs:office-hours  →  \u002Fcs:brief  →  \u002Fcs:boardroom  →  \u002Fcs:decide  →  \u002Fcs:execute  →  \u002Fcs:post-mortem\n                                                                                       ↑ you are here\n```\n\n## When to Run\n\n- At the 90-day checkpoint (auto-scheduled by `\u002Fcs:decide`)\n- When a kill criterion triggers\n- After a major decision is reversed\n- Quarterly on all decisions of the past quarter\n\n## Inputs\n\n- The decision record (output of `\u002Fcs:decide`)\n- The execution plan (output of `\u002Fcs:execute`)\n- Actual outcomes (metrics, events, customer signals)\n\n## Output: Post-Mortem Record\n\nSaved to `~\u002F.claude\u002Fpostmortems\u002FYYYY-MM-DD-\u003Cslug>.md`:\n\n```markdown\n# Post-Mortem: \u003Cdecision title>\n**Decision date:** YYYY-MM-DD\n**Post-mortem date:** YYYY-MM-DD\n**Status:** WIN \u002F PARTIAL \u002F LOSS \u002F MIXED\n\n## Outcome Scoring (against pre-committed criteria)\n\n| Success Criterion | Threshold | Actual | Met? |\n|---|---|---|---|\n| \u003Cmetric 1> | \u003Cthreshold> | \u003Cactual> | ✅ \u002F ❌ |\n| \u003Cmetric 2> | \u003Cthreshold> | \u003Cactual> | ✅ \u002F ❌ |\n\n| Kill Criterion | Threshold | Actual | Triggered? |\n|---|---|---|---|\n| \u003Cmetric> | \u003Cthreshold> | \u003Cactual> | ✅ \u002F ❌ |\n\n**Overall:** WIN \u002F PARTIAL \u002F LOSS \u002F MIXED\n\n## What We Got Right\n- \u003Cfactor 1>\n- \u003Cfactor 2>\n\n## What We Got Wrong\n- \u003Cfactor 1>\n- \u003Cfactor 2>\n\n## Preserved Dissent — Revisited\n[Original dissent from the boardroom memo, scored:]\n\n- **\u003Cdissenter>:** \u003Coriginal concern>\n  - **Did it materialize?** YES \u002F NO \u002F PARTIAL\n  - **Cost if YES:** \u003Cquantified impact>\n  - **Lesson:** \u003Cone sentence>\n\n## Assumption Audit\n[Original brief's assumptions, scored:]\n\n- **Assumption 1:** \u003Ctext>\n  - **Held?** YES \u002F NO \u002F PARTIAL\n  - **Why:** \u003Cexplanation>\n\n## Process Lessons\n- **Phase 2 isolation worked?** YES \u002F NO\n- **Devil's advocate concerns played out?** YES \u002F NO \u002F PARTIAL\n- **Cadence was right?** YES \u002F TOO LOOSE \u002F TOO TIGHT\n\n## Forward Actions\n- [ ] \u003Cchange to operating system or routing logic>\n- [ ] \u003Cnew decision to make based on this learning>\n- [ ] \u003Cupdate company-context.md>\n\n## Status\n- WIN → archive, log lesson\n- LOSS → schedule follow-up boardroom: `\u002Fcs:brief` for the next call\n```\n\n## Why Pre-Committed Criteria Matter\n\nThe biggest temptation in post-mortems is retroactive justification: \"we always knew X, that's why we did Y.\" Pre-committed criteria, signed at `\u002Fcs:decide` time, eliminate that move. The numbers either matched or they didn't.\n\n## Why Revisit Dissent\n\nThe dissent column from `\u002Fcs:boardroom` is the single most useful piece of organizational memory. Most of the time, the dissenter was directionally right. Revisiting and scoring it builds calibration over years.\n\n## Routing\n\n- `\u002Fcs:brief` — if the post-mortem surfaces a new decision\n- `\u002Fcs:freeze` — if the post-mortem reveals a process gap that needs cooldown enforcement\n- Updates to company-context.md via `cs-onboard`\n\n## Related\n\n- Skill: [`decision-logger`](..\u002F..\u002F..\u002Fskills\u002Fdecision-logger\u002FSKILL.md)\n- Agent: [`cs-chief-of-staff`](..\u002F..\u002Fagents\u002Fcs-chief-of-staff.md)\n- Sibling: [`\u002Fem:postmortem`](..\u002F..\u002F..\u002Fexecutive-mentor\u002Fskills\u002Fpostmortem\u002FSKILL.md) — adversarial single-decision post-mortem\n\n---\n\n**Version:** 1.0.0\n",{"name":5,"description":7},"main","56d41613d1ca1e2b0614a19c3816ec97a6159ec2","c-level-advisor\u002Fc-level-agents\u002Fskills\u002Fpost-mortem","https:\u002F\u002Fgithub.com\u002Fmsm47\u002FGitskil","https:\u002F\u002Fgithub.com\u002Fmsm47","2026-06-22 18:36:50",{"source":8,"skillName":5,"commands":30,"prompt":40,"zipAvailable":41},[31,34,37],{"tool":32,"command":33},"npx","npx skills add msm47\u002FGitskil --skill post-mortem",{"tool":35,"command":36},"bunx","bunx skills add msm47\u002FGitskil --skill post-mortem",{"tool":38,"command":39},"pnpm","pnpm dlx skills add msm47\u002FGitskil --skill post-mortem","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmsm47\u002FGitskil\u002Fblob\u002Fmain\u002Fc-level-advisor\u002Fc-level-agents\u002Fskills\u002Fpost-mortem\u002FSKILL.md",true,[],[44,51,58,65,72,79],{"skillNo":45,"name":46,"nameZh":6,"description":47,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":48,"categories":49,"keywords":50,"publishedAt":18},"01M76S8VB9Q65XVZXC99QVF20M","syllabus","Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Triggers whenever a user uploads a syllabus, course outline, or curriculum document and wants supplementary readings. Also triggers on: 'syllabus reading list', 'find papers for my course', 'create a reading list from this syllabus', 'recent research for my class', 'supplementary readings', 'find journal articles for these topics', 'what recent papers cover this material', 'any new research on these course topics', 'update my syllabus with recent papers'. Even casual mentions when a syllabus is attached should trigger this skill.","https:\u002F\u002Fgithub.com\u002Fmsm47\u002FGitskil\u002Fblob\u002Fmain\u002Fresearch\u002Fsyllabus\u002Fskills\u002Fsyllabus\u002FSKILL.md",[],[],{"skillNo":52,"name":53,"nameZh":6,"description":54,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":55,"categories":56,"keywords":57,"publishedAt":18},"01M76S8K8X17M3CV7RENS6KA32","research","Default entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends\u002Fsentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Triggers — \"research [topic]\", \"look into [topic]\", \"what do we know about [topic]\", \"investigate [topic]\", \"find me information on [topic]\", \"do some research on [topic]\", \"I need to understand [topic]\", or any research request that doesn't obviously match a more-specific specialist skill. Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.","https:\u002F\u002Fgithub.com\u002Fmsm47\u002FGitskil\u002Fblob\u002Fmain\u002Fresearch\u002Fresearch\u002Fskills\u002Fresearch\u002FSKILL.md",[],[],{"skillNo":59,"name":60,"nameZh":6,"description":61,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":62,"categories":63,"keywords":64,"publishedAt":18},"01M76S8AZCNS7Q5M4G1SBQ8HDV","pulse","Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X\u002FTwitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend\u002Fsentiment\u002Fproblems\u002Fopportunities\u002Fcomparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Triggers: 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]', or any variation requesting multi-source recency intelligence on a topic. Also use for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.","https:\u002F\u002Fgithub.com\u002Fmsm47\u002FGitskil\u002Fblob\u002Fmain\u002Fresearch\u002Fpulse\u002Fskills\u002Fpulse\u002FSKILL.md",[],[],{"skillNo":66,"name":67,"nameZh":6,"description":68,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":69,"categories":70,"keywords":71,"publishedAt":18},"01M76S7YVS0NHD51AFTZM5965R","patent","Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search \u002F freedom-to-operate \u002F competitive landscape \u002F acquisition diligence \u002F litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Triggers: 'prior art search for [invention]', 'patent search on [topic]', 'freedom to operate analysis', 'FTO for [product]', 'patent landscape for [field]', 'is [invention] novel', 'patents on [topic]', 'competitive patent analysis', 'prior art for litigation', 'patent diligence on [company]'. Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.","https:\u002F\u002Fgithub.com\u002Fmsm47\u002FGitskil\u002Fblob\u002Fmain\u002Fresearch\u002Fpatent\u002Fskills\u002Fpatent\u002FSKILL.md",[],[],{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":78,"publishedAt":18},"01M76S7MQDZR49Y3DRXF394R2F","notebooklm","Browser automation skill for controlling Google's NotebookLM. Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio Overview, infographics, slide decks, study guides, briefing docs, mind maps, timelines, FAQs), and creating new notebooks. Triggers on any phrase involving NotebookLM — 'open NotebookLM', 'check my [name] notebook', 'pull info from NotebookLM', 'ask my notebook about X', 'add [source] to NotebookLM', 'create an infographic in NotebookLM', 'use NotebookLM Studio', 'generate a slide deck from my notebook', or any variation where the goal involves NotebookLM. Requires browser automation environment — fails gracefully when unavailable.","https:\u002F\u002Fgithub.com\u002Fmsm47\u002FGitskil\u002Fblob\u002Fmain\u002Fresearch\u002Fnotebooklm\u002Fskills\u002Fnotebooklm\u002FSKILL.md",[],[],{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":85,"publishedAt":18},"01M76S78K1ZJ092YYRKX0KBTYJ","litreview","Academic literature orientation skill that searches papers via Consensus, builds a strategic search plan using PICO (default) or SPIDER \u002F Decomposition \u002F hybrid as fallbacks, and synthesizes findings into a professionally formatted Word document (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5\u002F10\u002F20 queries) controls coverage vs. speed. Output is a 'launching pad' — not a finished review, but an orientation guide that lets a researcher dive in confidently. Triggers: 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'. Do NOT trigger for single one-off paper searches where the user just wants a quick list — that's a plain Consensus search.","https:\u002F\u002Fgithub.com\u002Fmsm47\u002FGitskil\u002Fblob\u002Fmain\u002Fresearch\u002Flitreview\u002Fskills\u002Flitreview\u002FSKILL.md",[],[]]