Mémoriser la Session

VérifiéSûr

Résume et enregistre la session de travail en cours dans la mémoire persistante, en conservant les accomplissements, les fichiers modifiés et les apprentissages clés pour assurer la continuité entre les sessions. Utilisez cette commande pour préserver le contexte et retrouver les travaux antérieurs dans les sessions futures.

Spar Skills Guide Bot
ProductiviteIntermédiaire
4002/06/2026
Claude Code
#session-memory#context-save#workflow-continuity#activity-log

Recommandé pour

Notre avis

Sauvegarde la session de travail actuelle dans une mémoire persistante pour un usage futur, en résumant les accomplissements et les fichiers modifiés.

Points forts

  • Permet une continuité entre sessions en conservant le contexte
  • Extraction automatique des métadonnées et des sujets clés
  • Ajout optionnel de connaissances ou faits sur le codebase

Limites

  • Nécessite un outil externe (simba.search) installé et configuré
  • La qualité du résumé dépend de l'analyse automatique de l'activité
  • La mémoire n'est pas synchronisée entre différents projets
Quand l'utiliser

Quand vous terminez une session de travail importante et souhaitez reprendre plus tard sans perdre le contexte.

Quand l'éviter

Si le projet ne dispose pas de l'outil de mémoire persistant ou si la session n'a pas produit de changements significatifs.

Analyse de sécurité

Sûr
Score qualité92/100

The skill executes only safe Bash commands for reading activity logs, running a Python CLI tool, and deleting a specific log file. There are no destructive, exfiltrating, or obfuscated operations.

Aucun point d'attention détecté

Exemples

Save session with default summary
/remember
Save session and add a fact
Remember that this project uses PostgreSQL with Prisma ORM and then run /remember
Save session with knowledge about auth module
Remember how the auth module works and then save the session with /remember

name: remember description: Save the current work session to persistent memory for future context. Summarizes accomplishments, tracks files modified, and stores learnings for cross-session continuity.

/remember - Save Session to Memory

Summarize the current work session and save it to persistent memory for future context.

Instructions

When the user invokes /remember, you should:

1. Check for Activity Log

First, check if there's an activity log from this session:

REPO_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || echo "$PWD")
ACTIVITY_FILE="$REPO_ROOT/.simba/search/activity.log"
if [ -f "$ACTIVITY_FILE" ]; then
    cat "$ACTIVITY_FILE"
fi

2. Analyze the Session

Review what was accomplished in this conversation:

  • What files were read, created, or modified?
  • What was the main goal or task?
  • What key decisions were made?
  • Were there any important patterns or learnings?

3. Generate Summary

Create a concise summary (2-3 sentences) that captures:

  • What was done (the main accomplishment)
  • Why it matters (the purpose or problem solved)
  • Key details (important files, patterns, or decisions)

4. Extract Metadata

Identify:

  • Files touched: List of file paths worked on
  • Topics: 3-5 keywords for searchability (e.g., "auth, jwt, middleware, security")
  • Tools used: Main tools used (Read, Write, Edit, Bash, etc.)

5. Save to Memory

Use the simba.search CLI to save:

# Initialize if needed
uv run python -m simba.search init

# Save session
uv run python -m simba.search add-session \
    "YOUR_SUMMARY_HERE" \
    '["file1.ts", "file2.ts"]' \
    '["Read", "Edit", "Bash"]' \
    "topic1, topic2, topic3"

6. Optionally Add Knowledge or Facts

If during the session you learned something important about the codebase that should be remembered:

For code area knowledge:

uv run python -m simba.search add-knowledge \
    "src/auth" \
    "Authentication module using JWT tokens with refresh token rotation" \
    "Tokens expire in 15min, refresh tokens in 7 days"

For project facts:

uv run python -m simba.search add-fact \
    "Uses PostgreSQL with Prisma ORM" "architecture"
uv run python -m simba.search add-fact \
    "All API routes require authentication except /health" "convention"

7. Clear Activity Log

After saving, clear the activity log:

REPO_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || echo "$PWD")
ACTIVITY_FILE="$REPO_ROOT/.simba/search/activity.log"
[ -f "$ACTIVITY_FILE" ] && rm "$ACTIVITY_FILE"

8. Confirm to User

Report what was saved:

Saved to memory:
- Summary: [your summary]
- Topics: [topics]
- Files: [count] files tracked

Memory now contains [X] sessions. Use /memory-stats to see details.

Example Output

Saved to memory:
- Summary: Implemented JWT authentication with refresh token rotation. Added middleware for protected routes and updated user model with token fields.
- Topics: auth, jwt, middleware, tokens, security
- Files: 4 files tracked

Memory now contains 12 sessions.

Additional Commands

If the user wants to add specific knowledge or facts, they can say:

  • "Remember that this project uses X" -> Add as fact
  • "Remember how the auth module works" -> Add as knowledge

Ask clarifying questions if the summary scope is unclear.

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