recall-reasoning
Scannednpx machina-cli add skill parcadei/Continuous-Claude-v3/recall-reasoning --openclawRecall Past Work
Search through previous sessions to find relevant decisions, approaches that worked, and approaches that failed. Queries two sources:
- Artifact Index - Handoffs, plans, ledgers with post-mortems (what worked/failed)
- 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)
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 "$CLAUDE_PROJECT_DIR/.claude/scripts/search-reasoning.sh" "<query>"
This searches .git/claude/commits/*/reasoning.md for build failures and fixes.
Examples
# Search for authentication-related work
uv run python scripts/core/artifact_query.py "authentication OAuth JWT"
# Find only successful approaches
uv run python scripts/core/artifact_query.py "implement agent" --outcome SUCCEEDED
# Find what failed (to avoid repeating mistakes)
uv run python scripts/core/artifact_query.py "hook implementation" --outcome FAILED
# Search build/test reasoning
bash "$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 workbuild_pass= what finally succeeded- Multiple failures before success = non-trivial problem
Process
- Run Artifact Index query first - richer context, post-mortems
- Review relevant handoffs - check what worked/failed sections
- If needed, search reasoning - for specific build errors
- Apply learnings - follow successful patterns, avoid failed ones
No Results?
Artifact Index empty:
- Run
uv run python scripts/core/artifact_index.py --allto index existing handoffs - Create handoffs with post-mortem sections for future recall
Reasoning files empty:
- Use
/commitafter builds to capture reasoning - Check if
.git/claude/directory exists
Source
git clone https://github.com/parcadei/Continuous-Claude-v3/blob/main/.claude/skills/recall-reasoning/SKILL.mdView on GitHub Overview
Recall Past Work helps you locate decisions, approaches, and outcomes from previous sessions. It queries two sources—the Artifact Index and Reasoning Files—to surface what worked, what failed, and why.
How This Skill Works
It runs searches against the Artifact Index (handoffs, plans, post-mortems) and the Reasoning Files (.git/claude/commits/*/reasoning.md). The results reveal successful patterns to reuse and dead ends to avoid, enabling faster, informed work.
When to Use It
- 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
Quick Start
- Step 1: Run Artifact Index query first (e.g., uv run python scripts/core/artifact_query.py "<query>")
- Step 2: Review relevant handoffs for 'What worked' and 'What failed'
- Step 3: If needed, search reasoning files with the provided script and apply learnings
Best Practices
- Query Artifact Index first to leverage rich context and post-mortems
- Review handoffs for 'What worked' and 'What failed' sections
- If needed, search Reasoning Files for specific build errors
- Apply learnings by following successful patterns and avoiding failed ones
- Document findings in future handoffs to improve recall
Example Use Cases
- uv run python scripts/core/artifact_query.py authentication OAuth JWT
- uv run python scripts/core/artifact_query.py implement agent --outcome SUCCEEDED
- uv run python scripts/core/artifact_query.py hook implementation --outcome FAILED
- bash $CLAUDE_PROJECT_DIR/.claude/scripts/search-reasoning.sh TypeError
- Review post-mortems in Artifact Index to surface key decisions and patterns