knowledge-extraction
Extract reusable knowledge from a session — decisions, gotchas, patterns discovered.
Skill by franciscsimon
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/franciscsimon-knowledge-extraction
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/knowledge-extraction
What's inside
- Skill name
knowledge-extraction- Description
- Extract reusable knowledge from a session — decisions, gotchas, patterns discovered. Use before compacting or ending a productive session.
- License
- MIT
- Instructions
- 12 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Knowledge Extraction ## Workflow 1. **Review what happened** — what was built, what was learned, what went wrong 2. **Extract decisions** — why was approach X chosen over Y? 3. **Extract gotchas** — what broke unexpectedly, what was the fix? 4. **Extract patterns** — reusable approaches discovered during the session 5. **Save to file** — `/checkpoint save knowledge` or write to `~/.pi/agent/knowledge/` 6. **Compose for future use** — `/compose create <name> <content>`
From franciscsimon/harness, MIT.
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Signals
- Stars
- 1
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Mar 16, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/franciscsimon/harness
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from franciscsimon
- 0.432score
architecture-review
franciscsimon
Review and document system architecture.
SkillDFreshness: D★ 1Claude Code +9 - 0.432score
code-review
franciscsimon
Structured code review workflow.
SkillDFreshness: D★ 1Claude Code +9 - 0.432score
context-management
franciscsimon
Manage AI context health — prevent context rot, extract knowledge before compaction, compose reference docs.
SkillDFreshness: D★ 1Claude Code +9 - 0.432score
debugging
franciscsimon
Systematic debugging workflow using Approved Logs pattern.
SkillDFreshness: D★ 1Claude Code +9 - 0.432score
migration
franciscsimon
Dependency upgrade and API migration workflow.
SkillDFreshness: D★ 1Claude Code +9 - 0.432score
performance-optimization
franciscsimon
Profile and optimize performance bottlenecks.
SkillDFreshness: D★ 1Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
knowledge-extraction skill. Agent Mart. https://agentmart.dev/skills/franciscsimon-knowledge-extraction (last updated 2026-10-24)