Agent skill · Code Review & Quality

implicit-decision-capture

Automatically capture implicit technical decisions and uncertainties encountered by AI agents during coding work. This skill logs decision points where the agent chose an approach without explicit user guidance, enabling later review and context enrichment. Use this proactively during any coding task to track "what choices I made and why.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill implicit-decision-capture --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 16 KB
Bundled scripts: none
Path: skills/agent/implicit-decision-capture/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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

From the SKILL.md

# Implicit Decision Capture Skill This skill helps AI agents create a transparent log of implicit technical decisions made during implementation. The goal is to capture specific, non-obvious choices that could be valuable for later review and potential standardization. ## TRIGGER CHECKLIST - Read This First **TRIGGER THIS SKILL IMMEDIATELY DURING CODING WHEN:** - [ ] You chose between multiple valid approaches without explicit user guidance - [ ] You picked a design pattern (e.g., compound components vs monolithic) - [ ] You decided on an error handling strategy - [ ] You chose a naming convention not documented in CLAUDE.md - [ ] You selected a testing approach (mocks vs real implementations) - [ ] You made a performance optimization decision - [ ] You felt uncertain about your choice but proceeded anyway **TRIGGER DURING IMPLEMENTATION** - log decisions as you make them, not after the fact. **MANDATORY SELF-CHECK:** Whenever you think "Should I do X or Y?" and choose without asking the user → trigger this skill. ## Failure Example - When This Skill SHOULD Have Been Triggered ``` User: "Add a search feature to the user list" AI: [Thinks: "Should search be debounced? How long? No g

What's inside
Steps it walks through
  1. TRIGGER CHECKLIST - Read This First
  2. Failure Example - When This Skill SHOULD Have Been Triggered
  3. Purpose
  4. When to Use This Skill
  5. When NOT to Use
  6. Workflow
  7. Step 1: Silent Capture (During Work)
  8. Step 2: File Management
  9. Step 3: User Review (Later)
  10. Example Scenarios
  11. Example 1: Component Architecture
  12. Example 2: Testing Approach
  13. Example 3: Error Handling Strategy
  14. Example 4: Naming Convention
Ships with 1 file
  • metadata.json
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About this skill
What does the implicit-decision-capture skill do?

Automatically capture implicit technical decisions and uncertainties encountered by AI agents during coding work. This skill logs decision points where the agent chose an approach without explicit user guidance, enabling later review and context enrichment. Use this proactively during any coding task to track "what choices I made and why.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill implicit-decision-capture --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 majiayu000/claude-skill-registry, a repository with 534 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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