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session-journal

Productivity
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Use at session start for context warm-up and during work to capture decisions

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How to use this skill

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  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/context-management/session-journal-yairbederman-engineeringagency-2/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/session-journal/. Do not write files or run scripts until I approve.

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Session Journal

Overview

Maintains session continuity by logging decisions, progress, and rationale.

Core principle: Check for project lessons at start, log significant decisions during work.

Announce at start: "Applying session-journal skill for context warm-up."

The Process

At Session Start

  1. Check <workspace>/.ai-memory/lessons/ for project lessons
  2. If found: Load relevant lessons for current context
  3. Announce: "Loaded [N] project lessons" or "No prior lessons found"

During Work

Log significant decisions to brain/<conversation-id>/sessions/<YYYY-MM-DD>.md:

## Decisions
- **HH:MM** - [Decision]: [Rationale]

Only log when:

  • Choosing between alternatives
  • Making architectural decisions
  • Deviating from expected approach

At Session End

  1. Summarize accomplishments
  2. Note open threads
  3. Check if patterns emerged → trigger lessons-capture if so

Session Log Format

# Session: YYYY-MM-DD

## Lessons Loaded
[List of project lessons applied]

## Decisions
- **14:32** - Chose Redis over Memcached: Better pub/sub for realtime
- **15:07** - Used existing auth pattern from lesson `auth-jwt.md`

## Open Threads
- [ ] Need to verify rate limiting behavior

Discrepancy Handling

If a loaded lesson contradicts current MCP data (Jira, Confluence):

  1. Flag: > [!WARNING] Lesson X says Y but MCP says Z
  2. Use MCP data for this session
  3. At session end, prompt: "Update lesson?"

Common Mistakes

  • Logging every small decision (keep it scannable)
  • Forgetting to note WHY a decision was made
  • Not checking for project lessons at session start
  • Silently overriding lessons without flagging

Checklist

Before ending session:

  • Significant decisions logged with rationale
  • Open threads documented
  • Any discrepancies flagged and addressed