askill
recall

recallSafety 95Repository

Deep search across all past Claude Code sessions for decisions, solutions, and discussions

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Updated 2/5/2026

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SKILL.md

Recall: Self-Memory Retrieval

STOP. READ THIS FIRST.

THE ONLY COMMAND YOU MAY USE IS:

.claude/bin/transcript recall "your query"

YOU MUST NOT USE:

  • rg - FORBIDDEN
  • grep - FORBIDDEN
  • find - FORBIDDEN
  • cat ~/.claude/ - FORBIDDEN
  • Any direct file access to ~/.claude/projects/ - FORBIDDEN

If you use any forbidden command, you are violating this skill's requirements.

Why This Matters

The transcript CLI:

  • Handles JSONL parsing correctly
  • Groups results by session
  • Shows timestamps and context
  • Finds related skills automatically
  • Auto-synthesizes complex queries with LLM

Raw tools like rg return unreadable JSON blobs and miss context. Using them is a failure mode.

The Command

.claude/bin/transcript recall "your query"

That's it. Run this command. Read the output. Done.

Tiered Retrieval

Recall uses intelligent tiering to match retrieval strategy to query complexity:

Fast Path (default)

  • SQLite FTS search
  • Returns in 1-2 seconds
  • Best for simple keyword lookups

Deep Path (auto or --deep)

  • Fast path + LLM synthesis
  • Returns in 5-10 seconds
  • Best for complex questions requiring cross-session analysis

Auto-Escalation

The command automatically escalates to deep path when:

  • Match count > 50 - Too many results to scan manually
  • Results span > 7 days - Long time range suggests complex topic
  • Query is a question - Starts with what/why/how/did/do/etc.
  • Session count > 5 - Information spread across many sessions

Controlling Escalation

# Force deep path (LLM synthesis) even for simple queries
.claude/bin/transcript recall "caching" --deep
.claude/bin/transcript recall "caching" -D

# Force fast path (skip synthesis) even when criteria would trigger escalation
.claude/bin/transcript recall "why did we choose redis" --fast
.claude/bin/transcript recall "why did we choose redis" -F

Note: --fast takes precedence over --deep if both are specified.

Options

.claude/bin/transcript recall "query" --max-sessions 5    # Limit sessions shown (default: 5)
.claude/bin/transcript recall "query" --context 3         # Matches per session (default: 3)
.claude/bin/transcript recall "query" --limit 100         # Total matches to search (default: 100)
.claude/bin/transcript recall "query" --deep              # Force LLM synthesis
.claude/bin/transcript recall "query" --fast              # Skip LLM synthesis
.claude/bin/transcript recall "query" --json              # Output as JSON (includes synthesis if applicable)

Examples

Simple keyword lookup (fast path)

.claude/bin/transcript recall "caching"

Returns grouped results in 1-2 seconds.

Question query (auto-escalates to deep path)

.claude/bin/transcript recall "why did we decide to use Redis?"

Auto-detects question pattern, runs synthesis, returns synthesized answer with citations.

Force deep analysis

.claude/bin/transcript recall "authentication patterns" --deep

Forces LLM synthesis even if auto-escalation criteria not met.

Skip synthesis for speed

.claude/bin/transcript recall "how does the login flow work" --fast

Skips synthesis despite question pattern, returns fast path results only.

Understanding the Output

Fast Path Output

πŸ” Recall: "caching"

Found 12 matches across 3 sessions
⏩ Fast path: No escalation criteria met

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
πŸ“ happy-hippo (5 matches)
   Jan 15, 10:30 AM - 11:45 AM

   [10:32 AM] assistant   Line 245
   Implemented Redis caching layer with 60-second TTL...

   β†’ .claude/bin/transcripthappy-hippo --search "caching" --human

Deep Path Output

πŸ” Recall: "why did we choose Redis?"

Found 28 matches across 4 sessions
⚑ Deep path: Query is a question

[... fast path results ...]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
πŸ€– Synthesized Answer
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Based on your past sessions, you chose Redis for caching because:

1. **Performance requirements** [1] - The dashboard needed sub-100ms response times
2. **Existing infrastructure** [2] - You already had Redis running for session storage
3. **TTL support** [3] - Native expiration simplified cache invalidation logic

───────────────────────────────────────────────────────────
πŸ“š Sources

  [1] happy-hippo (Jan 15, 2026)
      β†’ .claude/bin/transcripthappy-hippo --search "why did we choose Redis?" --human
  [2] clever-cat (Jan 10, 2026)
      β†’ .claude/bin/transcriptclever-cat --search "why did we choose Redis?" --human

Workflow

User asks about past discussion
         ↓
.claude/bin/transcript recall "topic"     ← START HERE, ALWAYS
         ↓
Check path indicator (⏩ Fast or ⚑ Deep)
         ↓
Read the grouped output (and synthesis if deep)
         ↓
Need more detail? β†’ Use drill-down command from output
         ↓
Respond to user with findings

Common Mistakes (DO NOT DO THESE)

# WRONG - Do not use rg
rg "sandbox" ~/.claude/projects/

# WRONG - Do not use grep
grep -r "sandbox" ~/.claude/

# WRONG - Do not use find
find ~/.claude -name "*.jsonl" | xargs grep sandbox

# WRONG - Do not cat jsonl files directly
cat ~/.claude/projects/*/abc123.jsonl | grep sandbox
# CORRECT - Use .claude/bin/transcript recall
.claude/bin/transcript recall "sandbox"

Summary

  1. USE: .claude/bin/transcript recall "query"
  2. DO NOT USE: rg, grep, find, cat on transcript files
  3. Let auto-escalation work - it detects when synthesis is needed
  4. Use --deep to force synthesis, --fast to skip it
  5. Read the grouped output (and synthesis if provided)
  6. Drill down if needed using commands from the output

Install

Download ZIP
Requires askill CLI v1.0+β–Ά

AI Quality Score

95/100Analyzed 2/11/2026

An exceptionally well-documented skill for searching Claude Code session history. It provides clear triggers, specific CLI commands with detailed flags, auto-escalation logic, and explicit anti-patterns to avoid.

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Metadata

Licenseunknown
Version0.6.0
Updated2/5/2026
Publishermajiayu000

Tags

databasegithub-actionsllm