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Keep context across sessions\u002Frepos\u002Fdates, store conclusions, and provide document search workflows.","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",67,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fsupercent-io\u002Fopencontext\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[5,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"multi-agent","context-management","context management","knowledge-base","across","guide","context","write","read","gemini","knowledge","Bash","search","chatgpt","repos","workflows","workflow","memory","ai agents","2026-11-10 10:12:30",false,"---\nname: opencontext\ndescription: Persistent memory and context management for AI agents using OpenContext. Keep context across sessions\u002Frepos\u002Fdates, store conclusions, and provide document search workflows.\nallowed-tools: Read Write Bash Grep Glob\nmetadata:\n  tags: opencontext, context-management, memory, knowledge-base, multi-agent\n  platforms: Claude, Gemini, ChatGPT, Codex, Cursor\n  version: 1.0.0\n  source: OpenContext Multi-Agent Workflow Guide\n---\n\n\n# OpenContext Context Management (Persistent Memory)\n\n> Give your AI assistant persistent memory.\n> Stop repeating explanations, and build smarter.\n\n## When to use this skill\n\n- When you need to keep context across sessions\n- When you need to record project background\u002Fdecisions\n- When you need to search prior conclusions\u002Flessons\n- When you need knowledge sharing in a Multi-Agent workflow\n- When you want to reduce repetitive background explanations\n\n---\n\n## 1. Core concepts\n\n### Problem\nWhen working with an AI assistant, context gets lost (across sessions, repos, and dates). You end up repeating background, re-explaining decisions, and sometimes the assistant continues with incorrect assumptions.\n\n### Solution\n**OpenContext** is a lightweight personal context\u002Fknowledge store for AI assistants.\n\n```\n[Load context] → [Do work] → [Store conclusions]\n```\n\n### Default paths\n| Item | Path |\n|------|------|\n| **Contexts** | `~\u002F.opencontext\u002Fcontexts` |\n| **Database** | `~\u002F.opencontext\u002Fopencontext.db` |\n\n---\n\n## 2. Install and initialize\n\n### Install CLI\n```bash\nnpm install -g @aicontextlab\u002Fcli\n# Or use npx\nnpx @aicontextlab\u002Fcli \u003Ccommand>\n```\n\n### Initialize (run inside the repo)\n```bash\ncd your-project\noc init\n```\n\n**What `oc init` does:**\n- Prepare the global context store (on first run)\n- Generate user-level commands\u002Fskills + mcp.json for the selected tool\n- Update the repo's AGENTS.md\n\n---\n\n## 3. Slash Commands\n\n### Beginner-friendly commands\n\n| Command | Purpose |\n|---------|------|\n| `\u002Fopencontext-help` | When you don't know where to start |\n| `\u002Fopencontext-context` | **(Recommended default)** Load background before work |\n| `\u002Fopencontext-search` | Search existing documents |\n| `\u002Fopencontext-create` | Create a new document\u002Fidea |\n| `\u002Fopencontext-iterate` | Store conclusions and citations |\n\n### Install locations\n```\n# Slash Commands\nCursor:      ~\u002F.cursor\u002Fcommands\nClaude Code: ~\u002F.claude\u002Fcommands\n\n# Skills\nCursor:      ~\u002F.cursor\u002Fskills\u002Fopencontext-*\u002FSKILL.md\nClaude Code: ~\u002F.claude\u002Fskills\u002Fopencontext-*\u002FSKILL.md\nCodex:       ~\u002F.codex\u002Fskills\u002Fopencontext-*\u002FSKILL.md\n\n# MCP Config\nCursor:      ~\u002F.cursor\u002Fmcp.json\nClaude Code: ~\u002F.claude\u002Fmcp.json\n```\n\n---\n\n## 4. Core CLI commands\n\n### Folder\u002Fdocument management\n```bash\n# List folders\noc folder ls --all\n\n# Create folder\noc folder create project-a -d \"My project\"\n\n# Create document\noc doc create project-a design.md -d \"Design doc\"\n\n# List documents\noc doc ls project-a\n```\n\n### Search & manifest\n```bash\n# Search (keyword\u002Fhybrid\u002Fvector)\noc search \"your query\" --mode keyword --format json\n\n# Generate a manifest (list of files the AI should read)\noc context manifest project-a --limit 10\n```\n\n### Search modes\n| Mode | Description | Requirements |\n|------|------|----------|\n| `--mode keyword` | Keyword-based search | No embeddings required |\n| `--mode vector` | Vector search | Embeddings + index required |\n| `--mode hybrid` | Hybrid (default) | Embeddings + index required |\n\n### Embedding configuration (for semantic search)\n```bash\n# Set API key\noc config set EMBEDDING_API_KEY \"\u003C\u003Cyour_key>>\"\n\n# (Optional) Set base URL\noc config set EMBEDDING_API_BASE \"https:\u002F\u002Fapi.openai.com\u002Fv1\"\n\n# (Optional) Set model\noc config set EMBEDDING_MODEL \"text-embedding-3-small\"\n\n# Build index\noc index build\n```\n\n---\n\n## 5. MCP Tools\n\n### OpenContext MCP Tools\n```bash\noc_list_folders    # List folders\noc_list_docs       # List documents\noc_manifest        # Generate manifest\noc_search          # Search documents\noc_create_doc      # Create document\noc_get_link        # Generate stable link\n```\n\n### Multi-Agent integration\n```bash\n# Gemini: large-scale analysis\nask-gemini \"Analyze the structure of the entire codebase\"\n\n# Codex: run commands\nshell \"docker-compose up -d\"\n\n# OpenContext: store results\noc doc create project-a conclusions.md -d \"Analysis conclusions\"\n```\n\n---\n\n## 6. Multi-Agent workflow integration\n\n### Orchestration Pattern\n```\n[Claude] Plan\n    ↓\n[Gemini] Analysis\u002Fresearch + OpenContext search\n    ↓\n[Claude] Write code\n    ↓\n[Codex] Run\u002Ftest\n    ↓\n[Claude] Synthesize results + store in OpenContext\n```\n\n### Practical example: API design + implementation + testing\n```bash\n# 1. [Claude] Design API spec using the skill\n\u002Fopencontext-context   # Load project background\n\n# 2. [Gemini] Analyze a large codebase\nask-gemini \"@src\u002F Analyze existing API patterns\"\n\n# 3. [Claude] Implement code based on the analysis\n# (Use context loaded from OpenContext)\n\n# 4. [Codex] Test and build\nshell \"npm test && npm run build\"\n\n# 5. [Claude] Create final report + store conclusions\n\u002Fopencontext-iterate   # Store decisions and lessons learned\n```\n\n---\n\n## 7. Recommended daily workflow\n\n### Before work (1 min)\n```bash\n\u002Fopencontext-context\n```\n- Load project background + known pitfalls\n\n### During work\n```bash\n\u002Fopencontext-search\n```\n- Search existing conclusions when unsure\n\n### After work (2 min)\n```bash\n\u002Fopencontext-iterate\n```\n- Record decisions, pitfalls, and next steps\n\n### High-ROI document types\n- **Acceptance Criteria** - acceptance criteria\n- **Common Pitfalls** - common pitfalls\n- **API Contracts** - API contracts\n- **Dependency Versions** - dependency versions\n\n---\n\n## 8. Stable links (Stable Links)\n\nKeep links stable across renames\u002Fmoves by referencing document IDs:\n\n```markdown\n[label](oc:\u002F\u002Fdoc\u002F\u003Cstable_id>)\n```\n\n### Generate a link via CLI\n```bash\noc doc link \u003Cdoc_path>\n```\n\n### Generate a link via MCP\n```bash\noc_get_link doc_path=\"Product\u002Fapi-spec\"\n```\n\n---\n\n## 9. Desktop App & Web UI\n\n### Desktop App (recommended)\n- Manage\u002Fsearch\u002Fedit context with a native UI\n- Use without the CLI\n- Automatic index builds (in the background)\n\n**Citation features:**\n| Action | How | Result |\n|------|------|------|\n| Cite text snippet | Select text → right-click → \"Copy Citation\" | Agent reads the snippet + source |\n| Cite document | Click the citation icon next to the document title | Agent reads the full document + obtains stable_id |\n| Cite folder | Right-click folder → \"Copy Folder Citation\" | Agent bulk-reads all docs in the folder |\n\n### Web UI\n```bash\noc ui\n# Default URL: http:\u002F\u002F127.0.0.1:4321\n```\n\n---\n\n## Quick Reference\n\n### Essential workflow\n```\nBefore: \u002Fopencontext-context (load background)\nDuring: \u002Fopencontext-search (search)\nAfter: \u002Fopencontext-iterate (store)\n```\n\n### Core CLI commands\n```bash\noc init              # Initialize project\noc folder ls --all   # List folders\noc doc ls \u003Cfolder>   # List documents\noc search \"query\"    # Search\noc doc create ...    # Create document\n```\n\n### MCP Tools\n```\noc_list_folders  list folders\noc_list_docs     list documents\noc_search        search\noc_manifest      manifest\noc_create_doc    create document\noc_get_link      generate link\n```\n\n### Paths\n```\n~\u002F.opencontext\u002Fcontexts      context store\n~\u002F.opencontext\u002Fopencontext.db  database\n```\n\n---\n\n## References\n\n- [OpenContext Website](https:\u002F\u002F0xranx.github.io\u002FOpenContext\u002Fen\u002F)\n- [Usage Guide](https:\u002F\u002F0xranx.github.io\u002FOpenContext\u002Fen\u002Fusage\u002F)\n- [Download Desktop](https:\u002F\u002Fgithub.com\u002F0xranx\u002FOpenContext\u002Freleases)\n- [GitHub Repository](https:\u002F\u002Fgithub.com\u002F0xranx\u002FOpenContext)\n","# OpenContext Context Management (Persistent Memory)\n\n> Give your AI assistant persistent memory.\n> Stop repeating explanations, and build smarter.\n\n## When to use this skill\n\n- When you need to keep context across sessions\n- When you need to record project background\u002Fdecisions\n- When you need to search prior conclusions\u002Flessons\n- When you need knowledge sharing in a Multi-Agent workflow\n- When you want to reduce repetitive background explanations\n\n---\n\n## 1. Core concepts\n\n### Problem\nWhen working with an AI assistant, context gets lost (across sessions, repos, and dates). You end up repeating background, re-explaining decisions, and sometimes the assistant continues with incorrect assumptions.\n\n### Solution\n**OpenContext** is a lightweight personal context\u002Fknowledge store for AI assistants.\n\n```\n[Load context] → [Do work] → [Store conclusions]\n```\n\n### Default paths\n| Item | Path |\n|------|------|\n| **Contexts** | `~\u002F.opencontext\u002Fcontexts` |\n| **Database** | `~\u002F.opencontext\u002Fopencontext.db` |\n\n---\n\n## 2. Install and initialize\n\n### Install CLI\n```bash\nnpm install -g @aicontextlab\u002Fcli\n# Or use npx\nnpx @aicontextlab\u002Fcli \u003Ccommand>\n```\n\n### Initialize (run inside the repo)\n```bash\ncd your-project\noc init\n```\n\n**What `oc init` does:**\n- Prepare the global context store (on first run)\n- Generate user-level commands\u002Fskills + mcp.json for the selected tool\n- Update the repo's AGENTS.md\n\n---\n\n## 3. Slash Commands\n\n### Beginner-friendly commands\n\n| Command | Purpose |\n|---------|------|\n| `\u002Fopencontext-help` | When you don't know where to start |\n| `\u002Fopencontext-context` | **(Recommended default)** Load background before work |\n| `\u002Fopencontext-search` | Search existing documents |\n| `\u002Fopencontext-create` | Create a new document\u002Fidea |\n| `\u002Fopencontext-iterate` | Store conclusions and citations |\n\n### Install locations\n```\n# Slash Commands\nCursor:      ~\u002F.cursor\u002Fcommands\nClaude Code: ~\u002F.claude\u002Fcommands\n\n# Skills\nCursor:      ~\u002F.cursor\u002Fskills\u002Fopencontext-*\u002FSKILL.md\nClaude Code: ~\u002F.claude\u002Fskills\u002Fopencontext-*\u002FSKILL.md\nCodex:       ~\u002F.codex\u002Fskills\u002Fopencontext-*\u002FSKILL.md\n\n# MCP Config\nCursor:      ~\u002F.cursor\u002Fmcp.json\nClaude Code: ~\u002F.claude\u002Fmcp.json\n```\n\n---\n\n## 4. Core CLI commands\n\n### Folder\u002Fdocument management\n```bash\n# List folders\noc folder ls --all\n\n# Create folder\noc folder create project-a -d \"My project\"\n\n# Create document\noc doc create project-a design.md -d \"Design doc\"\n\n# List documents\noc doc ls project-a\n```\n\n### Search & manifest\n```bash\n# Search (keyword\u002Fhybrid\u002Fvector)\noc search \"your query\" --mode keyword --format json\n\n# Generate a manifest (list of files the AI should read)\noc context manifest project-a --limit 10\n```\n\n### Search modes\n| Mode | Description | Requirements |\n|------|------|----------|\n| `--mode keyword` | Keyword-based search | No embeddings required |\n| `--mode vector` | Vector search | Embeddings + index required |\n| `--mode hybrid` | Hybrid (default) | Embeddings + index required |\n\n### Embedding configuration (for semantic search)\n```bash\n# Set API key\noc config set EMBEDDING_API_KEY \"\u003C\u003Cyour_key>>\"\n\n# (Optional) Set base URL\noc config set EMBEDDING_API_BASE \"https:\u002F\u002Fapi.openai.com\u002Fv1\"\n\n# (Optional) Set model\noc config set EMBEDDING_MODEL \"text-embedding-3-small\"\n\n# Build index\noc index build\n```\n\n---\n\n## 5. MCP Tools\n\n### OpenContext MCP Tools\n```bash\noc_list_folders    # List folders\noc_list_docs       # List documents\noc_manifest        # Generate manifest\noc_search          # Search documents\noc_create_doc      # Create document\noc_get_link        # Generate stable link\n```\n\n### Multi-Agent integration\n```bash\n# Gemini: large-scale analysis\nask-gemini \"Analyze the structure of the entire codebase\"\n\n# Codex: run commands\nshell \"docker-compose up -d\"\n\n# OpenContext: store results\noc doc create project-a conclusions.md -d \"Analysis conclusions\"\n```\n\n---\n\n## 6. Multi-Agent workflow integration\n\n### Orchestration Pattern\n```\n[Claude] Plan\n    ↓\n[Gemini] Analysis\u002Fresearch + OpenContext search\n    ↓\n[Claude] Write code\n    ↓\n[Codex] Run\u002Ftest\n    ↓\n[Claude] Synthesize results + store in OpenContext\n```\n\n### Practical example: API design + implementation + testing\n```bash\n# 1. [Claude] Design API spec using the skill\n\u002Fopencontext-context   # Load project background\n\n# 2. [Gemini] Analyze a large codebase\nask-gemini \"@src\u002F Analyze existing API patterns\"\n\n# 3. [Claude] Implement code based on the analysis\n# (Use context loaded from OpenContext)\n\n# 4. [Codex] Test and build\nshell \"npm test && npm run build\"\n\n# 5. [Claude] Create final report + store conclusions\n\u002Fopencontext-iterate   # Store decisions and lessons learned\n```\n\n---\n\n## 7. Recommended daily workflow\n\n### Before work (1 min)\n```bash\n\u002Fopencontext-context\n```\n- Load project background + known pitfalls\n\n### During work\n```bash\n\u002Fopencontext-search\n```\n- Search existing conclusions when unsure\n\n### After work (2 min)\n```bash\n\u002Fopencontext-iterate\n```\n- Record decisions, pitfalls, and next steps\n\n### High-ROI document types\n- **Acceptance Criteria** - acceptance criteria\n- **Common Pitfalls** - common pitfalls\n- **API Contracts** - API contracts\n- **Dependency Versions** - dependency versions\n\n---\n\n## 8. Stable links (Stable Links)\n\nKeep links stable across renames\u002Fmoves by referencing document IDs:\n\n```markdown\n[label](oc:\u002F\u002Fdoc\u002F\u003Cstable_id>)\n```\n\n### Generate a link via CLI\n```bash\noc doc link \u003Cdoc_path>\n```\n\n### Generate a link via MCP\n```bash\noc_get_link doc_path=\"Product\u002Fapi-spec\"\n```\n\n---\n\n## 9. Desktop App & Web UI\n\n### Desktop App (recommended)\n- Manage\u002Fsearch\u002Fedit context with a native UI\n- Use without the CLI\n- Automatic index builds (in the background)\n\n**Citation features:**\n| Action | How | Result |\n|------|------|------|\n| Cite text snippet | Select text → right-click → \"Copy Citation\" | Agent reads the snippet + source |\n| Cite document | Click the citation icon next to the document title | Agent reads the full document + obtains stable_id |\n| Cite folder | Right-click folder → \"Copy Folder Citation\" | Agent bulk-reads all docs in the folder |\n\n### Web UI\n```bash\noc ui\n# Default URL: http:\u002F\u002F127.0.0.1:4321\n```\n\n---\n\n## Quick Reference\n\n### Essential workflow\n```\nBefore: \u002Fopencontext-context (load background)\nDuring: \u002Fopencontext-search (search)\nAfter: \u002Fopencontext-iterate (store)\n```\n\n### Core CLI commands\n```bash\noc init              # Initialize project\noc folder ls --all   # List folders\noc 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