Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add parcadei/Continuous-Claude-v3 --skill "continuity-ledger"
Install specific skill from multi-skill repository
# Description
Create or update continuity ledger for state preservation across clears
# SKILL.md
name: continuity-ledger
description: Create or update continuity ledger for state preservation across clears
Continuity Ledger
Note: This skill is now an alias for
/create_handoff. Both output the same YAML format.
Create a YAML handoff document for state preservation across /clear. This is the same as /create_handoff.
Process
1. Filepath & Metadata
First, determine the session name from existing handoffs:
ls -td thoughts/shared/handoffs/*/ 2>/dev/null | head -1 | xargs basename
This returns the most recently modified handoff folder name (e.g., open-source-release). Use this as the handoff folder name.
If no handoffs exist, use general as the folder name.
Create your file under: thoughts/shared/handoffs/{session-name}/YYYY-MM-DD_HH-MM_description.yaml, where:
- {session-name} is from existing handoffs (e.g., open-source-release) or general if none exist
- YYYY-MM-DD is today's date
- HH-MM is the current time in 24-hour format (no seconds needed)
- description is a brief kebab-case description
Examples:
- thoughts/shared/handoffs/open-source-release/2026-01-08_16-30_memory-system-fix.yaml
- thoughts/shared/handoffs/general/2026-01-08_16-30_bug-investigation.yaml
2. Write YAML handoff (~400 tokens)
CRITICAL: Use EXACTLY this YAML format. Do NOT deviate or use alternative field names.
The goal: and now: fields are shown in the statusline - they MUST be named exactly this.
---
session: {session-name from ledger}
date: YYYY-MM-DD
status: complete|partial|blocked
outcome: SUCCEEDED|PARTIAL_PLUS|PARTIAL_MINUS|FAILED
---
goal: {What this session accomplished - shown in statusline}
now: {What next session should do first - shown in statusline}
test: {Command to verify this work, e.g., pytest tests/test_foo.py}
done_this_session:
- task: {First completed task}
files: [{file1.py}, {file2.py}]
- task: {Second completed task}
files: [{file3.py}]
blockers: [{any blocking issues}]
questions: [{unresolved questions for next session}]
decisions:
- {decision_name}: {rationale}
findings:
- {key_finding}: {details}
worked: [{approaches that worked}]
failed: [{approaches that failed and why}]
next:
- {First next step}
- {Second next step}
files:
created: [{new files}]
modified: [{changed files}]
Field guide:
- goal: + now: - REQUIRED, shown in statusline
- done_this_session: - What was accomplished with file references
- decisions: - Important choices and rationale
- findings: - Key learnings
- worked: / failed: - What to repeat vs avoid
- next: - Action items for next session
DO NOT use alternative field names like session_goal, objective, focus, current, etc.
The statusline parser looks for EXACTLY goal: and now: - nothing else works.
3. Mark Session Outcome (REQUIRED)
IMPORTANT: Before responding to the user, you MUST ask about the session outcome.
Use the AskUserQuestion tool with these exact options:
Question: "How did this session go?"
Options:
- SUCCEEDED: Task completed successfully
- PARTIAL_PLUS: Mostly done, minor issues remain
- PARTIAL_MINUS: Some progress, major issues remain
- FAILED: Task abandoned or blocked
After the user responds, mark the outcome:
# Mark the most recent handoff (works with PostgreSQL or SQLite)
PROJECT_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || echo "${CLAUDE_PROJECT_DIR:-.}")
cd "$PROJECT_ROOT/opc" && uv run python scripts/core/artifact_mark.py --latest --outcome <USER_CHOICE>
4. Confirm completion
After marking the outcome, respond to the user:
Handoff created! Outcome marked as [OUTCOME].
Resume in a new session with:
/resume_handoff path/to/handoff.yaml
When to Use
- Before running
/clear - Context usage approaching 70%+
- Multi-day implementations
- Complex refactors you pick up/put down
- Any session expected to hit 85%+ context
When NOT to Use
- Quick tasks (< 30 min)
- Simple bug fixes
- Single-file changes
Why Clear Instead of Compact?
Each compaction is lossy compression—after several compactions, you're working with degraded context. Clearing + loading the handoff gives you fresh context with full signal.
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.