Skill v1.0.1
currentAutomated scan100/100+2 new
version: "1.0.1" name: session-logger description: Saves conversation history to session log files. Use when user says "保存对话", "保存对话信息", "记录会话", "save session", or "save conversation". Automatically creates timestamped session log in sessions/ directory. allowed-tools: Read, Write, Edit, Bash
Session Logger
A skill for automatically saving conversation history to persistent session log files.
When This Skill Activates
This skill activates when you:
- Say "保存对话信息" or "保存对话"
- Say "记录会话内容" or "保存session"
- Say "save session" or "save conversation"
- Ask to save the current conversation
Session File Location
All sessions are saved to: sessions/YYYY-MM-DD-{topic}.md
What Gets Logged
For each session, log:
- Metadata
- Date and duration
- Context/working directory
- Main topic
- Summary
- What was accomplished
- Key decisions made
- Files created/modified
- Actions Taken
- Checklist of completed tasks
- Pending follow-ups
- Technical Notes
- Important code snippets
- Commands used
- Solutions found
- Open Questions
- Issues to revisit
- Follow-up tasks
Session Template
# Session: {Topic}**Date**: {YYYY-MM-DD}**Duration**: {approximate}**Context**: {project/directory}## Summary{What was accomplished in this session}## Key Decisions1.{Decision 1}2.{Decision 2}## Actions Taken-[x] {Completed action 1}-[x] {Completed action 2}-[ ] {Pending action 3}## Technical Notes{Important technical details}## Open Questions / Follow-ups-{Question 1}-{Question 2}## Related Files-`{file-path}` - {what changed}
How to Use
Option 1: Automatic Logging
Simply say:
"保存对话信息"
The skill will:
- Review the conversation history
- Extract key information
- Create/update the session file
Option 2: With Topic
Specify the session topic:
"保存对话,主题是 skill-router 创建"
Option 3: Manual Prompt
If auto-extraction misses something, provide details:
"保存对话,重点是:1) 创建了 skill-router,2) 修复了 front matter"
File Naming
| Input | Filename | |
|---|---|---|
| "保存对话" | YYYY-MM-DD-session.md | |
| "保存对话,主题是 prd" | YYYY-MM-DD-prd.md | |
| "保存今天的讨论" | YYYY-MM-DD-discussion.md |
Session Log Structure
sessions/├── README.md # This file├── 2025-01-11-skill-router.md # Session about skill-router├── 2025-01-11-prd-planner.md # Session about PRD planner└── 2025-01-12-refactoring.md # Session about refactoring
Privacy Note
Session logs are stored in sessions/ which is in .gitignore.
- Logs are NOT committed to git
- Logs contain your actual conversation
- Do not include secrets, credentials, tokens, or private user data unless they are explicitly required and redacted
Quick Reference
| You say | Skill does | |
|---|---|---|
| "保存对话信息" | Creates session log with today's date | |
| "保存今天的对话" | Creates session log | |
| "保存session" | Creates session log | |
| "记录会话" | Creates session log |
Best Practices
- Save at key milestones: After completing a feature, fixing a bug, etc.
- Be specific with topics: Helps when searching later
- Include code snippets: Save important solutions
- Track decisions: Why did you choose X over Y?
- List pending items: What to do next time
Rich Content Extraction (for Self-Improving Agent)
When triggered by other skills via hooks, session-logger extracts structured data for learning:
Skill Context Capture
When a skill completes, capture:
## Skill Execution Context**Skill**: {skill-name}**Trigger**: {user-invoked | hook-triggered | auto-triggered}**Status**: {completed | error | partial}**Duration**: {approximate time}### Input Context-User request: {original request}-Files involved: {list of files}-Codebase patterns detected: {patterns}### Output Summary-Actions taken: {list}-Files modified: {list with changes}-Decisions made: {key decisions}### Learning Signals-What worked well: {successes}-What could improve: {areas for improvement}-Patterns discovered: {new patterns}-Errors encountered: {errors and resolutions}
Error Context Capture
When a skill encounters errors:
## Error Context**Error Type**: {type}**Error Message**: {message}**Stack Trace**: {if available}### Resolution Attempted-Approach: {what was tried}-Result: {success/failure}-Root cause: {if identified}### Prevention Notes-How to avoid: {prevention strategy}-Related patterns: {similar issues}
Pattern Extraction
Extract reusable patterns for the self-improving-agent:
## Extracted Patterns### Code Patterns-Pattern name: {name}-Context: {when to use}-Example: {code snippet}### Workflow Patterns-Trigger: {what initiates}-Steps: {sequence}-Outcome: {expected result}### Anti-Patterns-Pattern: {what to avoid}-Why: {reason}-Alternative: {better approach}
Structured Data Format
For machine-readable extraction, use YAML front matter in session logs:
---session_type: skill_executionskill_name: code-reviewertrigger_source: hookstatus: completedfiles_modified:- path: src/utils.tschanges: refactored error handlingpatterns_learned:- name: error-boundary-patterncategory: error-handlingconfidence: higherrors_encountered: []learning_signals:successes:- "Identified code smell in utils.ts"improvements:- "Could have suggested more specific refactoring"---
Integration with Self-Improving Agent
When triggered by self-improving-agent:
- Extract episodic memory: Capture the full context of what happened
- Identify semantic patterns: Tag reusable knowledge
- Update working memory: Note immediate follow-ups needed
- Signal completion: Write trigger file if skill chaining is needed
Auto-Trigger Behavior
When invoked via hooks with mode: auto:
- Silently create/update session log
- Extract structured data without user interaction
- Append to existing session if same day/topic
- Create new session if context differs significantly