Best use case
recall-reasoning is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Search past reasoning for relevant decisions and approaches
Teams using recall-reasoning should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/recall-reasoning/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How recall-reasoning Compares
| Feature / Agent | recall-reasoning | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Search past reasoning for relevant decisions and approaches
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Recall Past Work Search through previous sessions to find relevant decisions, approaches that worked, and approaches that failed. Queries two sources: 1. **Artifact Index** - Handoffs, plans, ledgers with post-mortems (what worked/failed) 2. **Reasoning Files** - Build attempts, test failures, commit context ## When to Use - Starting work similar to past sessions - "What did we do last time with X?" - Looking for patterns that worked before - Investigating why something was done a certain way - Debugging an issue encountered previously ## Usage ### Primary: Artifact Index (rich context) ```bash uv run python scripts/core/artifact_query.py "<query>" [--outcome SUCCEEDED|FAILED] [--limit N] ``` This searches handoffs with post-mortems (what worked, what failed, key decisions). ### Secondary: Reasoning Files (build attempts) ```bash bash "$CLAUDE_PROJECT_DIR/.claude/scripts/search-reasoning.sh" "<query>" ``` This searches `.git/claude/commits/*/reasoning.md` for build failures and fixes. ## Examples ```bash # Search for authentication-related work uv run python scripts/core/artifact_query.py "authentication OAuth JWT" # Find only successful approaches uv run python scripts/core/artifact_query.py "implement agent" --outcome SUCCEEDED # Find what failed (to avoid repeating mistakes) uv run python scripts/core/artifact_query.py "hook implementation" --outcome FAILED # Search build/test reasoning bash "$CLAUDE_PROJECT_DIR/.claude/scripts/search-reasoning.sh" "TypeError" ``` ## What Gets Searched **Artifact Index** (handoffs, plans, ledgers): - Task summaries and status - **What worked** - Successful approaches - **What failed** - Dead ends and why - **Key decisions** - Choices with rationale - Goal and constraints from ledgers **Reasoning Files** (`.git/claude/`): - Failed build attempts and error output - Successful builds after failures - Commit context and branch info ## Interpreting Results **From Artifact Index:** - `✓` = SUCCEEDED outcome (pattern to follow) - `✗` = FAILED outcome (pattern to avoid) - `?` = UNKNOWN outcome (not yet marked) - Post-mortem sections show distilled learnings **From Reasoning:** - `build_fail` = approach that didn't work - `build_pass` = what finally succeeded - Multiple failures before success = non-trivial problem ## Process 1. **Run Artifact Index query first** - richer context, post-mortems 2. **Review relevant handoffs** - check what worked/failed sections 3. **If needed, search reasoning** - for specific build errors 4. **Apply learnings** - follow successful patterns, avoid failed ones ## No Results? **Artifact Index empty:** - Run `uv run python scripts/core/artifact_index.py --all` to index existing handoffs - Create handoffs with post-mortem sections for future recall **Reasoning files empty:** - Use `/commit` after builds to capture reasoning - Check if `.git/claude/` directory exists
Related Skills
recall
Query the memory system for relevant learnings from past sessions using semantic search.
workflow-router
Goal-based workflow orchestration - routes tasks to specialist agents based on user goals
wiring
Wiring Verification
websocket-patterns
Connection management, room patterns, reconnection strategies, message buffering, and binary protocol design.
visual-verdict
Screenshot comparison QA for frontend development. Takes a screenshot of the current implementation, scores it across multiple visual dimensions, and returns a structured PASS/REVISE/FAIL verdict with concrete fixes. Use when implementing UI from a design reference or verifying visual correctness.
verification-loop
Comprehensive verification system covering build, types, lint, tests, security, and diff review before a PR.
vector-db-patterns
Embedding strategies, ANN algorithms, hybrid search, RAG chunking strategies, and reranking for semantic search and retrieval.
variant-analysis
Find similar vulnerabilities across a codebase after discovering one instance. Uses pattern matching, AST search, Semgrep/CodeQL queries, and manual tracing to propagate findings. Adapted from Trail of Bits. Use after finding a bug to check if the same pattern exists elsewhere.
validate-agent
Validation agent that validates plan tech choices against current best practices
tracing-patterns
OpenTelemetry setup, span context propagation, sampling strategies, Jaeger queries
tour
Friendly onboarding tour of Claude Code capabilities for users asking what it can do.
tldr-stats
Show full session token usage, costs, TLDR savings, and hook activity