recall-reasoning skill
Search past reasoning for relevant decisions and approaches
Is the recall-reasoning skill safe?
Clean: nothing in its files matched our rules. We read 1 file in the folder on 2026-09-28.
No findings.
Install the recall-reasoning skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git /tmp/Continuous-Claude-v3 mkdir -p ~/.claude/skills cp -r /tmp/Continuous-Claude-v3/.claude/skills/recall-reasoning ~/.claude/skills/recall-reasoning
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Recall 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 work
- build_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 --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
More skills from parcadei/Continuous-Claude-v3
- Aagent-context-isolationAgent Context Isolation
- Aagent-orchestrationAgent Orchestration Rules
- Aagentic-workflowAgentic Workflow Pattern
- Aagentica-claude-proxyGuide for integrating Agentica SDK with Claude Code CLI proxy
- Aagentica-infrastructureReference guide for Agentica multi-agent infrastructure APIs
- Aagentica-promptsWrite reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
- Aagentica-sdkBuild Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
- Aagentica-serverAgentica server + Claude proxy setup - architecture, startup sequence, debugging
- Aagentica-spawnSpawn Agentica multi-agent patterns
- Aanalytic-functionsProblem-solving strategies for analytic functions in complex analysis
- Aast-grep-findAST-based code search and refactoring via ast-grep MCP
- Aasync-repl-protocolAsync REPL Protocol