Recall Reasoning
This searches your past Claude sessions to surface what worked and what didn't. It queries two indexes: artifact handoffs with post-mortems (successful patterns, dead ends, key decisions) and reasoning files from build attempts. The workflow is straightforward: search the artifact index first for rich context, then drill into reasoning files if you need specifics on build errors. The real value is in those post-mortem sections that explicitly mark approaches as succeeded or failed, so you're not rediscovering the same dead ends. If you're working on something similar to a past session or debugging a familiar issue, this beats scrolling through commit history.
- skills.sh installs
- 603
- GitHub stars
- 3.9K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add parcadei/continuous-claude-v3 --skill recall-reasoning --agent claude-codeInstalls into .claude/skills of the current project.
Files
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"
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- Repository
- github.com/parcadei/continuous-claude-v3
- First seen
- Jun 3, 2026
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