Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Two-layer memory architecture for board meeting decisions. Manages raw transcripts (Layer 1) and approved decisions (Layer 2). Use when logging decisions after a board meeting, reviewing past decisions with /cs:decisions, or checking overdue action items with /cs:review. Invoked automatically by the board-meeting skill after Phase 5 founder approval.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Attribution: Sourced from alirezarezvani/claude-skills by Alireza Rezvani.
Two-layer memory system. Layer 1 stores everything. Layer 2 stores only what the founder approved. Future meetings read Layer 2 only — this prevents hallucinated consensus from past debates bleeding into new deliberations.
decision log, memory, approved decisions, action items, board minutes, /cs:decisions, /cs:review, conflict detection, DO_NOT_RESURFACE
python scripts/decision_tracker.py --demo # See sample output
python scripts/decision_tracker.py --summary # Overview + overdue
python scripts/decision_tracker.py --overdue # Past-deadline actions
python scripts/decision_tracker.py --conflicts # Contradiction detection
python scripts/decision_tracker.py --owner "CTO" # Filter by owner
python scripts/decision_tracker.py --search "pricing" # Search decisions
| Command | Effect |
|---|---|
/cs:decisions | Last 10 approved decisions |
/cs:decisions --all | Full history |
/cs:decisions --owner CMO | Filter by owner |
/cs:decisions --topic pricing | Search by keyword |
/cs:review | Action items due within 7 days |
/cs:review --overdue | Items past deadline |
Location: memory/board-meetings/YYYY-MM-DD-raw.md
memory/board-meetings/archive/YYYY/Location: memory/board-meetings/decisions.md
## [YYYY-MM-DD] — [AGENDA ITEM TITLE]
**Decision:** [One clear statement of what was decided.]
**Owner:** [One person or role — accountable for execution.]
**Deadline:** [YYYY-MM-DD]
**Review:** [YYYY-MM-DD]
**Rationale:** [Why this over alternatives. 1-2 sentences.]
**User Override:** [If founder changed agent recommendation — what and why. Blank if not applicable.]
**Rejected:**
- [Proposal] — [reason] [DO_NOT_RESURFACE]
**Action Items:**
- [ ] [Action] — Owner: [name] — Due: [YYYY-MM-DD] — Review: [YYYY-MM-DD]
**Supersedes:** [DATE of previous decision on same topic, if any]
**Superseded by:** [Filled in retroactively if overridden later]
**Raw transcript:** memory/board-meetings/[DATE]-raw.md
Before logging, Chief of Staff checks for:
When a conflict is found:
⚠️ DECISION CONFLICT
New: [text]
Conflicts with: [DATE] — [existing text]
Options: (1) Supersede old (2) Merge (3) Defer to founder
DO_NOT_RESURFACE enforcement:
🚫 BLOCKED: "[Proposal]" was rejected on [DATE]. Reason: [reason].
To reopen: founder must explicitly say "reopen [topic] from [DATE]".
YYYY-MM-DD-raw.mddecisions.mddecisions.md- [x] [Action] — Owner: [name] — Completed: [DATE] — Result: [one sentence]
Never delete completed items. The history is the record.
memory/board-meetings/
├── decisions.md # Layer 2: append-only, founder-approved
├── YYYY-MM-DD-raw.md # Layer 1: full transcript per meeting
└── archive/YYYY/ # Raw files after 90 days
templates/decision-entry.md — single entry template with field rulesscripts/decision_tracker.py — CLI parser, overdue tracker, conflict detector아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.