save

SKILL.md

Session Save

Persist session context to Serena MCP memory for cross-session continuity.

<essential_principles>

Core Requirements

  • All persistence uses Serena MCP tools exclusively (no agent-specific tools)
  • Always check existing memories before writing to avoid overwriting valuable context
  • Session checkpoint keys must include date: session_YYYY-MM-DD_<description>
  • Pattern and learning memories use: pattern_<topic>
  • Never skip think_about_collected_information for save validation
  • Report what was saved as a structured summary to the user

</essential_principles>

Phase 1: Session Analysis

  1. Review what was accomplished this session:
    • Files created or modified
    • Decisions made and their rationale
    • Problems encountered and solutions found
    • Tasks completed and tasks remaining
  2. Identify what is worth persisting:
    • Session state: Current progress, next steps, blockers
    • Learnings: Reusable patterns, solutions to problems
    • Plans: Active plans or updated plans
    • TODOs: Outstanding work items

Phase 2: Memory Inventory

  1. Call list_memories to see existing memories
  2. Check if project_overview needs updating (significant new understanding gained?)
  3. Identify which existing memories need updates vs. new memories to create

Phase 3: Persist Session Checkpoint

  1. Call write_memory with key session_YYYY-MM-DD_<summary>:
## Session: YYYY-MM-DD — <summary>

### Accomplished
- [what was done]

### Decisions Made
- [decision]: [rationale]

### Files Changed
- [file path]: [what changed]

### Pending / Next Steps
- [what remains to be done]

### Blockers (if any)
- [blocker description]

Phase 4: Persist Learnings (if any)

  1. For each reusable pattern discovered, call write_memory with key pattern_<topic>:
## Pattern: <name>

**Context**: [when this applies]
**Solution**: [the pattern/approach]
**Example**: [concrete example]
**When to Use**: [trigger conditions]
  1. For each persistent TODO, call write_memory with key todo_<description>:
## TODO: <description>

**Priority**: [high/medium/low]
**Context**: [why this matters]
**Acceptance Criteria**: [how to know it's done]

Phase 5: Update Project Overview (if needed)

  1. If significant new project understanding was gained:
    • Call read_memory("project_overview") to get current content
    • Call write_memory("project_overview", updated_content) with additions
    • Do NOT overwrite existing content — append or update sections

Phase 6: Validation

  1. Call think_about_collected_information to verify save completeness
  2. Verify: session checkpoint created, learnings persisted, no critical context lost

Phase 7: Save Report

Report to the user:

## Session Saved

### Memories Written
| Key | Purpose |
|-----|---------|
| session_YYYY-MM-DD_xxx | Session checkpoint |
| pattern_xxx | [if any] |
| todo_xxx | [if any] |

### Memories Updated
| Key | What Changed |
|-----|-------------|
| project_overview | [if updated] |

### Next Session
Run `/load` to restore this context.

Memory Naming Conventions

See references/memory-conventions.md for the complete naming reference.

Quick summary:

Prefix Purpose Example
project_overview Project summary (singleton) project_overview
CRITICAL_* Must-read rules CRITICAL_activation_rule
session_YYYY-MM-DD_* Session checkpoints session_2026-02-09_auth-flow
plan_* Active plans plan_dark-mode
pattern_* Reusable patterns pattern_supabase-rls
discovery_* Brainstorming results discovery_api-options
todo_* Persistent TODOs todo_fix-login

Success Criteria

  • Session accomplishments analyzed
  • Existing memories checked (no accidental overwrites)
  • Session checkpoint memory written with date-stamped key
  • Learnings/patterns persisted (if any discovered)
  • Project overview updated (if significant new understanding)
  • think_about_collected_information called
  • Save report presented to user
Weekly Installs
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GitHub Stars
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First Seen
Feb 14, 2026
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