implementation-logger
Log implementation decisions — tracks deviations from plan and captures rationale
Skill by andeerc
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/andeerc-implementation-logger
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What's inside
- Skill name
implementation-logger- Description
- Log implementation decisions — tracks deviations from plan and captures rationale
- License
- MIT
- Compatibility
- cline, claude, opencode, amp, codex, gemini, cursor, pi
- Instructions
- 395 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Implementation Logger ## When to Use Use this skill **during implementation** when: - Working on complex or uncertain changes - The implementation approach isn't fully defined - You want to track decisions for documentation - Building knowledge about unknowns for future work - Need to explain reasoning in PR descriptions ## What It Does Tracks **deviations from the original plan** and **decision rationale** during implementation. Helps identify where your mental model (map) differed from reality (territory). ## How to Execute ### Step 1: Set Up Logging At the start of implementation, create a log file: ```bash # Create implementation log echo "# Implementation Log: [Feature Name]" > .implementation-log.md echo "" >> .implementation-log.md echo "Started: $(date)" >> .implementation-log.md echo "" >> .implementation-log.md echo "## Original Plan" >> .implementation-log.md echo "[Brief summary of approach]" >> .implementation-log.md echo "" >> .implementation-log.md echo "## Deviations & Decisions" >> .implementation-log.md ``` ### Step 2: Log During Implementation Whenever reality differs from plan, log it: ```markdown ### [Timestamp] - [Decision Point Title] **Context**: What I encountered that wasn't in the plan **Original Assumption**: What I thought would work **Reality**: What I actually found **Decision**: What I decided to do instead **Rationale**: Why this approach is better/necessary **Impact**: What else this might affect ``` ### Step 3: Log Categories Track different types of deviations: **Architectural Discoveries**: - Found existing abstraction that changes approach - Realized need for new pattern - Dependency constraints **Unknown Unknowns**: - Edge cases not in spec - Integration points discovered - Performance considerations **Technical Constraints**: - Library limitations - Type system issues - Test infrastructure gaps **Spec Gaps**: - Ambiguous requirements - Missing error handling specs - Unclear business logic ### Step 4: Review & Extract After implementation: 1. Review log for patterns 2. Extract key learnings for documentation 3. Identify knowledge to preserve 4. Update relevant docs/ADRs ## Log Template ```markdown # Implementation Log: [Feature Name] **Date**: [Date] **Developer**: [Name or Agent ID] **Original Plan**: [Link to spec/plan] ## Summary [One paragraph: what we built and key decisions] ## Original Approach [What we planned to do] ## Deviations & Decisions ### Decision 1: [Title] **When**: [Timestamp/phase] **Context**: [What prompted this decision] **Original Plan**: [What we thought we'd do] **Reality**: [What we actually found] **Decision**: [What we decided] **Rationale**: [Why this is better] **Impact**: [Side effects or dependencies] **Code**: [Link to relevant commit/files] ### Decision 2: [Title] ... ## Unknowns Discovered ### Unknown: [Title] **Category**: [Architecture/Spec/Technical/Business]
From andeerc/Oh-My-Portable-OpenCode, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 30, 2026 (3 months ago)
- Last release
- Jul 30, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.711score
implementation-logger
jellydn
Log implementation decisions — tracks deviations from plan and captures rationale
SkillAFreshness: A★ 123Claude Code +9 - 0.371score
implementation-logger
jellydn
Log implementation decisions — tracks deviations from plan and captures rationale
SkillAFreshness: A★ 123Claude Code +9
More from andeerc
- 0.524score
code-review
andeerc
Review the diff since a fixed point along two axes — Conventions (does the code follow this repo's coding standards and Tidy First practices?) and Intent…
SkillBFreshness: BClaude Code +9 - 0.521score
blindspot-pass
andeerc
Find unknown unknowns before starting implementation — searches git history, patterns, and architecture for hidden gotchas
SkillBFreshness: BClaude Code +9 - 0.518score
capability-experiments
andeerc
Experiment with model capabilities — HTML reports, embedded questionnaires, proactive research, multi-step reasoning
SkillBFreshness: BClaude Code +9 - 0.518score
codemap
andeerc
Map codebase structure with parallel analysis — produces 7 documents about architecture, concerns, and conventions
SkillBFreshness: BClaude Code +9 - 0.518score
context-discovery
andeerc
Discover context using MCP tools — fff, sem, ctx, qmd, codebase-memory-mcp for codebase understanding
SkillBFreshness: BClaude Code +9 - 0.517score
code-quality-review
andeerc
Run an extremely strict maintainability and structural code quality review — flags abstraction issues, spaghetti growth, and boundary leaks
SkillBFreshness: BClaude Code +9
Cite this page
implementation-logger skill. Agent Mart. https://agentmart.dev/skills/andeerc-implementation-logger (last updated 2026-10-24)