decision-logger
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.
- License 许可
- MIT
- 最近更新
- 2026-05-02
- Stars
- ★ 3
- Forks
- 1
01 前言 Front Matter
- name
- decision-logger
- license
- MIT
- metadata
- { "author": "Alireza Rezvani", "domain": "decision-memory", "updated": 1772668800000, "version": "1.0.0", "category": "c-level", "python-tools": "scripts/decision_tracker.py" }
- description
- 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.
02 资源文件 2
- 脚本scripts/decision_tracker.py22.8 KB
- 参考文档templates/decision-entry.md2.2 KB
03 SKILL.md 正文
Decision Logger
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.
Keywords
decision log, memory, approved decisions, action items, board minutes, /cs:decisions, /cs:review, conflict detection, DO_NOT_RESURFACE
Quick Start
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
Commands
| 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 |
Two-Layer Architecture
Layer 1 — Raw Transcripts
Location: memory/board-meetings/YYYY-MM-DD-raw.md
- Full Phase 2 agent contributions, Phase 3 critique, Phase 4 synthesis
- All debates, including rejected arguments
- NEVER auto-loaded. Only on explicit founder request.
- Archive after 90 days →
memory/board-meetings/archive/YYYY/
Layer 2 — Approved Decisions
Location: memory/board-meetings/decisions.md
- ONLY founder-approved decisions, action items, user corrections
- Loaded automatically in Phase 1 of every board meeting
- Append-only. Decisions are never deleted — only superseded.
- Managed by Chief of Staff after Phase 5. Never written by agents directly.
Decision Entry Format
## [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
Conflict Detection
Before logging, Chief of Staff checks for:
- DO_NOT_RESURFACE violations — new decision matches a rejected proposal
- Topic contradictions — two active decisions on same topic with different conclusions
- Owner conflicts — same action assigned to different people in different decisions
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]".
Logging Workflow (Post Phase 5)
- Founder approves synthesis
- Write Layer 1 raw transcript →
YYYY-MM-DD-raw.md - Check conflicts against
decisions.md - Surface conflicts → wait for founder resolution
- Append approved entries to
decisions.md - Confirm: decisions logged, actions tracked, DO_NOT_RESURFACE flags added
Marking Actions Complete
- [x] [Action] — Owner: [name] — Completed: [DATE] — Result: [one sentence]
Never delete completed items. The history is the record.
File Structure
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
References
templates/decision-entry.md— single entry template with field rulesscripts/decision_tracker.py— CLI parser, overdue tracker, conflict detector
04 同仓库更多 Skills
zarr-python
Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
zabbix
Zabbix monitoring system automation via API and Python. Use when: (1) Managing hosts, templates, items, triggers, or host groups, (2) Automating monitoring configuration, (3) Sending data via Zabbix trapper/sender, (4) Querying historical data or events, (5) Bulk operations on Zabbix objects, (6) Maintenance window management, (7) User/permission management
x-twitter-growth
X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X/Twitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.
what-if-oracle
Run structured What-If scenario analysis with multi-branch possibility exploration. Use this skill when the user asks speculative questions like "what if...", "what would happen if...", "what are the possibilities", "explore scenarios", "scenario analysis", "possibility space", "what could go wrong", "best case / worst case", "risk analysis", "contingency planning", "strategic options", or any question about uncertain futures. Also trigger when the user faces a fork-in-the-road decision, wants to stress-test an idea, or needs to think through consequences before committing.
vercel-react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
venue-templates
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.