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recall-reasoning

recall-reasoning

github.com/parcadeiAgent workflows3.9k603 installsUpdated 39w ago
Repository

About recall-reasoning

A skill for searching past project sessions to recover decisions, successful approaches, and failures. It queries an artifact index first, then reasoning files for build and test context.

Key features

  1. 01Search handoffs, plans, and ledgers
  2. 02Filter artifacts by outcome
  3. 03Search build and test reasoning
  4. 04Review decisions and post-mortems

Use cases

  1. 01Reusing an approach from earlier work
  2. 02Investigating why a decision was made
  3. 03Finding fixes for prior build failures

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/parcadei/continuous-claude-v3 --skill recall-reasoning

After installing, type/recall-reasoningin Claude Code to confirm it loaded.

Details

From the project README

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)
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 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

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