Agent skill · Code Review & Quality

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.

Alireza Rezvani23,369★ · +428/wk · 1 repos on radarProfile →
claude-codecodexcursorships scriptsMIT
Install
npx skills add alirezarezvani/claude-skills --skill decision-logger --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 5 KB
Bundled scripts: yes
Version: 1.0.0
Declared author: Alireza Rezvani
Path: c-level-advisor/skills/decision-logger/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 23,791 · +422 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 ```bash 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 Archi

What's inside
Steps it walks through
  1. Keywords
  2. Quick Start
  3. Commands
  4. Two-Layer Architecture
  5. Layer 1 — Raw Transcripts
  6. Layer 2 — Approved Decisions
  7. Decision Entry Format
  8. Conflict Detection
  9. Logging Workflow (Post Phase 5)
  10. Marking Actions Complete
  11. File Structure
  12. References
Ships with 2 files
  • scripts/decision_tracker.py
  • templates/decision-entry.md
Commands it runs
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
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About this skill
What does the decision-logger skill do?

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.

How do I install it?

Run `npx skills add alirezarezvani/claude-skills --skill decision-logger --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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