Note: This skill is now an alias for /create_handoff. Both output the same YAML format.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncontinuity-ledgerExecute the skills CLI command in your project's root directory to begin installation:
Fetches continuity-ledger from parcadei/continuous-claude-v3 and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate continuity-ledger. Access via /continuity-ledger in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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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.
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 existYYYY-MM-DD is today's dateHH-MM is the current time in 24-hour format (no seconds needed)description is a brief kebab-case descriptionExamples:
thoughts/shared/handoffs/open-source-release/2026-01-08_16-30_memory-system-fix.yamlthoughts/shared/handoffs/general/2026-01-08_16-30_bug-investigation.yamlCRITICAL: 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 statuslinedone_this_session: - What was accomplished with file referencesdecisions: - Important choices and rationalefindings: - Key learningsworked: / failed: - What to repeat vs avoidnext: - Action items for next sessionDO NOT use alternative field names like session_goal, objective, focus, current, etc.
The statusline parser looks for EXACTLY goal: and now: - nothing else works.
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>
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
/clearEach compaction is lossy compressionβafter several compactions, you're working with degraded context. Clearing + loading the handoff gives you fresh context with full signal.
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
β Do
β Don't
π‘ Pro Tips
β Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
β Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
parcadei/continuous-claude-v3
anthropics/claude-code
github/awesome-copilot
mblode/agent-skills
leonxlnx/taste-skill
sickn33/antigravity-awesome-skills
Keeps context tight: continuity-ledger is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added continuity-ledger from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
continuity-ledger is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
continuity-ledger fits our agent workflows well β practical, well scoped, and easy to wire into existing repos.
continuity-ledger fits our agent workflows well β practical, well scoped, and easy to wire into existing repos.
continuity-ledger has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in continuity-ledger β fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
continuity-ledger fits our agent workflows well β practical, well scoped, and easy to wire into existing repos.
continuity-ledger has been reliable in day-to-day use. Documentation quality is above average for community skills.
continuity-ledger is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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