
end
by 3x-Projetos
Sistema de Memória Hierárquica para Claude CLI - Economia de 50-96% em tokens com personalização contínua
SKILL.md
name: end description: Finalize session by creating detailed log and syncing to cloud version: 1.3.0
End Session
Quick Finalization Workflow
-
Check for reflection (optional):
- Check if
.metrics-reflection.tmpexists - If NOT exists, ask: "Quick reflection before finishing? (y/n)"
- If yes: Direct user to run
/reflectfirst, then/endagain - If no or file exists: Continue to step 2
- Check if
-
Collect session info: Prompt user for session summary (topic, projects touched, key activities, decisions, blockers)
-
Capture performance metrics: Get actual values automatically:
- Run:
python3 ~/.claude/get-context-metrics.pyto get: tokens|raw%|ctx(u)%|overhead - Parse output:
95641|47.8|59.8|12.0means:- Context: 95,641 tokens
- Tokens %: 47.8%
- Context Window %: 59.8%
- Overhead: 12.0 percentage points
- Run:
-
Merge reflection metrics (if
.metrics-reflection.tmpexists):- Read and parse reflection file
- Merge with automatic metrics for log entry
- Delete
.metrics-reflection.tmpafter merge
-
Generate daily log entry: Create structured log in
~/.claude-memory/providers/claude/logs/daily/YYYY.MM.DD.mdwith:- Session timestamp + topic
- Projects touched
- Activities realized
- Performance metrics (automatic + reflection if available)
- Next steps
- Decisions/insights
-
Update session state: Modify
~/.claude-memory/providers/claude/session-state.mdwith current focus and pending tasks -
Update integration timeline: Append to
~/.claude-memory/integration/provider-activities.mdand.quick.md -
Sync to cloud: Try pushing logs to cloud. On error, logs stay local only. (Cloud path in
~/.claude-memory/.config.json- don't read, just try sync) -
Confirmation: Show user what was logged and sync status
Performance Metrics Format
**Context Window**: [ctx(u)]% (real usage including Anthropic overhead)
**Tokens**: [used]/200,000 ([raw]%)
**Overhead**: [difference] percentage points
Example:
**Context Window**: 59.8% (real usage)
**Tokens**: 95,641/200,000 (47.8%)
**Overhead**: 12.0 percentage points
Why both matter:
- Context Window % = What matters for hitting limits (includes system overhead)
- Tokens % = Conversation size (useful for comparing sessions)
- Overhead = Anthropic's cost (tools, prompts, cache, etc.)
Reflection Metrics Format (if available)
When .metrics-reflection.tmp exists, add this section to the log:
**Reflection** (self-reported):
- Satisfaction: X/10
- Energy: [Energizado/Neutro/Drenado]
- Frustration: [text or "None"]
- Notes: [text or empty]
Key Principle
Logs saved locally first, cloud sync is best-effort. Session finalization never blocks on cloud errors.
See existing daily logs for format examples.
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SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
3ヶ月以内に更新がある
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
レビュー
レビュー機能は近日公開予定です