
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.
Score
Total Score
Based on repository quality metrics
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
Reviews
Reviews coming soon