Unified lifecycle management for all framework artifacts (skills, agents, hooks, workflows, templates, schemas)
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
Convenience wrapper for the unified artifact lifecycle workflow.
This skill provides a simplified interface to the comprehensive artifact lifecycle management workflow at .claude/workflows/core/skill-lifecycle.md.
Use this skill when you need to:
// Invoke this skill
Skill({ skill: 'artifact-lifecycle' });
Full Workflow: .claude/workflows/core/skill-lifecycle.md
Check if artifact exists, compare versions.
Agent: architect Output: Discovery report with recommendations
Determine action: CREATE, UPDATE, or DEPRECATE.
Agent: planner Output: Action plan with tasks
Execute the determined action.
Agent: developer + appropriate creator skill Tools:
Skill({ skill: "skill-creator" }) for skillsSkill({ skill: "agent-creator" }) for agentsSkill({ skill: "hook-creator" }) for hooksSkill({ skill: "workflow-creator" }) for workflowsUpdate registries, catalogs, and CLAUDE.md.
Agent: developer Updates:
Test integration and verify references.
Agent: qa Checks:
User: "Create a skill for Kubernetes deployment"
Router spawns with:
Skill({ skill: "artifact-lifecycle" })
Workflow determines: CREATE mode
Invokes: skill-creator
Updates: registry, catalog, CLAUDE.md
Validates: skill invocable
User: "Update the devops agent to support Terraform Cloud"
Router spawns with:
Skill({ skill: "artifact-lifecycle" })
Workflow determines: UPDATE mode
Version: 1.0.0 → 1.1.0
Updates: agent file, CHANGELOG
Validates: agent referenced correctly
User: "Deprecate the old deployment workflow"
Router spawns with:
Skill({ skill: "artifact-lifecycle" })
Workflow determines: DEPRECATE mode
Adds: deprecation notice, migration guide
Updates: CLAUDE.md with replacement reference
Validates: no broken references
| Parameter | Values | Default |
|---|---|---|
| artifact_type | skill, agent, hook, workflow, template, schema | auto-detect |
| operation | create, update, deprecate, integrate | auto-detect |
| version_bump | major, minor, patch | minor |
| Anti-Pattern | Why It Fails | Correct Approach |
|---|---|---|
| Skipping research-synthesis before CREATE | Risk of creating a duplicate or outdated artifact | Always run research-synthesis first |
| Starting action before Phase 2 decision | Wrong operation applied; CREATE when UPDATE needed | Complete Phase 2 before Phase 3 |
| Skipping Phase 5 validation | Broken artifacts delivered as complete | Always run invocability check |
| No catalog/registry update in Phase 4 | Artifact is invisible to agents and router | Always update catalog, registry, and CLAUDE.md |
| Using artifact-lifecycle for simple version bumps | Heavyweight process for lightweight work | Use skill-updater/agent-updater for UPDATE mode |
| Not specifying artifact_type | Wrong creator skill invoked silently | Always specify or verify artifact_type in Phase 1 |
.claude/context/memory/learnings.md before starting.claude/context/memory/decisions.md.claude/context/memory/issues.mdskill-creator - Direct skill creationagent-creator - Direct agent creationworkflow-creator - Direct workflow creationcodebase-integration - External artifact integration.claude/workflows/core/skill-lifecycle.md - Full lifecycle workflow.claude/workflows/core/external-integration.md - External artifact integration.claude/workflows/core/router-decision.md - Router decision flowNo reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
The English summary is being prepared. Showing the original description.
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
The English summary is being prepared. Showing the original description.
N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
The English summary is being prepared. Showing the original description.
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
The English summary is being prepared. Showing the original description.
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
The English summary is being prepared. Showing the original description.
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
The English summary is being prepared. Showing the original description.