For CLI agents WITHOUT subagent support (e.g., Codex CLI). Search previous code agent sessions for specific work, decisions, or code patterns.
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: session-search description: For CLI agents WITHOUT subagent support (e.g., Codex CLI). Search previous code agent sessions for specific work, decisions, or code patterns.
If you are Claude Code: Do NOT use this skill directly. Use the
session-searcher subagent via the Task tool instead - it handles this more
efficiently without polluting your context.
session-search
Search and find previous code agent sessions (Claude-Code or Codex-CLI) for specific work, decisions, or code patterns.
Workflow
- Understand the query: Identify what the user is looking for (code patterns, decisions, specific work, design direction)
- Search with aichat: Run
aichat search --json -n 10 "[query]"(use-g "project"to filter by project) - Parse results: Use
jqto extract fields from JSONL output (session_id, project, created, snippet, file_path) - Deep dive if needed: Read session files at
~/.claude/projects/*/[session-id].jsonl(max 3 files) - Summarize: Return a focused summary with key findings and references
Run aichat search --help to see all options (date filters, branch filters, etc.)
and JSONL field names.
Output Format
Return a concise summary containing:
- Key Findings: 2-3 bullet points answering the query
- Relevant Sessions: Session IDs and dates for reference
- Specific Content: Code snippets or quotes if directly relevant
Format as clean markdown, not raw JSON.
Example
Query: "Find sessions where we discussed authentication design"
aichat search --json -n 10 "authentication design"
Summary:
- Session abc123 (Dec 10): Discussed JWT vs session-based auth, decided on JWT
- Session def456 (Dec 8): Implemented refresh token rotation pattern
Constraints
- ALWAYS use
--jsonflag with aichat search (otherwise it spawns interactive UI) - NEVER return raw JSON output to the user - summarize and distill findings
- NEVER read more than 3 session files per query
- If no results found, suggest alternative search terms
- ONLY report information directly observed in files - never infer or extrapolate
Error Handling
If aichat search command fails or is not found, ask user to install:
uv tool install claude-code-tools # Python package
cargo install aichat-search # Rust search TUI
Prerequisites:
- Node.js 16+ (for action menus)
- Rust/Cargo (for aichat-search)
If user doesn't have uv or cargo:
curl -LsSf https://astral.sh/uv/install.sh | sh # uv
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh # Rust
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name: make-issue-spec
