Claude-skill-registry artifacts-creating-and-managing
git clone https://github.com/majiayu000/claude-skill-registry
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/artifacts-creating-and-managing" ~/.claude/skills/majiayu000-claude-skill-registry-artifacts-creating-and-managing && rm -rf "$T"
skills/data/artifacts-creating-and-managing/SKILL.mdArtifacts: Creating and Managing
Table of Contents
- Quick Start
- Triggers
- Purpose
- When to Use Artifacts
- Directory Structure
- File Naming Conventions
- Core Rules
- Category Definitions
- Helper Scripts
- Integration Pattern
- Supporting Files
- Best Practices
- Red Flags to Avoid
Quick Start
See scripts/create_adr.py for creating ADRs.
See scripts/create_research_topic.py for creating research topics.
See scripts/create_implementation_plan.py for creating implementation plans.
Triggers
Trigger with phrases like:
- "create an ADR"
- "create ADR for [decision]"
- "research [topic]"
- "create research topic"
- "spike investigation on [topic]"
- "create spike for [investigation]"
- "implementation plan for [feature]"
- "create analysis"
- "analyze [subject]"
- "document decision"
- "plan implementation"
Purpose
Standardizes how artifacts are created and organized within
.claude/artifacts/ directory. Artifacts are temporary work products that support development but don't belong in version control or permanent documentation.
When to Use This Skill
Use when asked to:
- Document architectural decisions ("create an ADR for event sourcing")
- Research technical topics ("research GraphQL libraries for React")
- Plan feature implementations ("create implementation plan for 2FA")
- Conduct time-boxed investigations ("spike on OAuth2 integration")
- Analyze existing code or architecture ("analyze performance bottlenecks")
Do NOT use when:
- Creating permanent documentation (use
directory instead)docs/ - Writing source code (use
directory)src/ - User needs quick inline answers (respond directly in conversation)
When to Use Artifacts
Use artifacts when:
- Conducting research ("research GraphQL libraries")
- Creating spikes ("spike on authentication approaches")
- Writing analysis ("analyze performance bottlenecks")
- Documenting decisions (ADRs)
- Planning implementations
- Capturing session notes
- Recording investigation results
Don't use artifacts for:
- Permanent documentation (use
instead)docs/ - Source code (use
instead)src/ - Tests (use
instead)tests/ - Configuration (use config files)
Directory Structure
.claude/artifacts/ ├── YYYY-MM-DD/ # Date-based organization │ ├── research/ # Research topics │ │ └── topic-name.md │ ├── spikes/ # Technical spikes │ │ └── spike-name.md │ ├── analysis/ # Code/architecture analysis │ │ └── analysis-name.md │ ├── plans/ # Implementation plans │ │ └── plan-name.md │ ├── sessions/ # Session notes │ │ └── session-name.md │ └── adr/ # Architecture Decision Records │ └── NNN-decision-name.md └── completed/ # Archived artifacts └── adr/ └── NNN-decision-name.md
File Naming Conventions
Research topics:
.claude/artifacts/YYYY-MM-DD/research/topic-name.md Example: .claude/artifacts/2025-12-24/research/graphql-libraries.md
Spikes:
.claude/artifacts/YYYY-MM-DD/spikes/spike-name.md Example: .claude/artifacts/2025-12-24/spikes/oauth2-integration.md
Analysis:
.claude/artifacts/YYYY-MM-DD/analysis/analysis-name.md Example: .claude/artifacts/2025-12-24/analysis/performance-bottlenecks.md
Implementation plans:
.claude/artifacts/YYYY-MM-DD/plans/feature-name-plan.md Example: .claude/artifacts/2025-12-24/plans/user-authentication-plan.md
ADRs:
.claude/artifacts/YYYY-MM-DD/adr/NNN-decision-title.md Example: .claude/artifacts/2025-12-24/adr/001-use-event-sourcing.md
Core Rules
- Date-based organization - All artifacts under
directoryYYYY-MM-DD/ - Kebab-case names - Use hyphens, lowercase, no spaces
- Category folders - research/, spikes/, analysis/, plans/, adr/
- Markdown format - All artifacts are .md files
- Templated creation - Use helper scripts for consistency
- Completion tracking - Move to
when donecompleted/
Category Definitions
Research
Purpose: Investigate libraries, tools, or approaches
Template: See templates/research_template.md
Example usage: "Research GraphQL client libraries for React"
Spikes
Purpose: Time-boxed technical investigation
Template: Spike template not yet created (use research template as starting point)
Example usage: "Spike on OAuth2 integration with existing auth system"
Analysis
Purpose: Investigate existing code/architecture
Template: Analysis template not yet created (use research template as starting point)
Example usage: "Analyze performance bottlenecks in API handlers"
Plans
Purpose: Document implementation approach
Template: See templates/implementation_plan_template.md
Example usage: "Plan implementation of two-factor authentication"
ADRs (Architecture Decision Records)
Purpose: Document architectural decisions
Template: See templates/adr_template.md
Example usage: "ADR 001: Use Event Sourcing for Audit Trail"
Helper Scripts
All scripts located in
.claude/skills/artifacts-creating-and-managing/scripts/:
create_adr.py
See scripts/create_adr.py for full script.
Required: --title, --status, --context Optional: --decision, --consequences
create_research_topic.py
See scripts/create_research_topic.py for full script.
Required: --topic, --objective Optional: --questions (multiple)
create_spike.py
Note: Spike script not yet created. Use create_research_topic.py as alternative.
create_analysis.py
Note: Analysis script not yet created. Use create_research_topic.py as alternative.
create_implementation_plan.py
See scripts/create_implementation_plan.py for full script.
Required: --feature, --overview Optional: --steps (multiple), --risks
Integration Pattern
Typical workflow:
- Create artifact: Use helper scripts (see Helper Scripts section)
- Work on artifact:
- Add findings, analysis, or decisions
- Reference code, documentation, or other artifacts
- Update as investigation progresses
- Complete artifact:
- Mark as complete (status: accepted/completed)
- Move to
if ADRcompleted/ - Reference in code or documentation
- Archive or delete if temporary
- Cross-reference:
- Link from code comments:
// See: .claude/artifacts/YYYY-MM-DD/research/topic.md - Link from documentation:
references artifactsdocs/ - Link between artifacts: Related ADRs reference each other
- Link from code comments:
Usage Examples
See examples/ directory for detailed usage examples including:
- Research library workflow
- ADR creation workflow
- Implementation plan workflow
Expected Outcomes
Successful Artifact Creation:
- Artifact created in correct location (
).claude/artifacts/YYYY-MM-DD/{category}/ - File follows naming conventions (kebab-case)
- Template applied with placeholders filled
- Ready for content addition
Completed Artifact:
- Decision documented (for ADRs)
- Research findings captured (for research)
- Implementation steps defined (for plans)
- Cross-referenced in code/docs where appropriate
- Moved to
if applicablecompleted/
Supporting Files
-
templates/ - Markdown templates:
- adr-template.md
- research-template.md
- spike-template.md
- analysis-template.md
- plan-template.md
-
scripts/ - Helper scripts:
- create_adr.py
- create_research_topic.py
- create_spike.py
- create_analysis.py
- create_implementation_plan.py
- list_artifacts.py (find all artifacts)
- archive_artifact.py (move to completed/)
Best Practices
- Use templates - Scripts ensure consistency
- Date organization - Easy to find recent artifacts
- Descriptive names - Clear purpose from filename
- Complete artifacts - Don't leave them half-finished
- Cross-reference - Link artifacts to code/docs
- Archive when done - Move completed ADRs to
completed/ - Delete temporary artifacts - Don't accumulate unnecessary files
- Update status - Keep artifact status current
Red Flags to Avoid
- Creating artifacts in wrong location - Always use
.claude/artifacts/ - Skipping date folder - All artifacts under
YYYY-MM-DD/ - Mixed case names - Use kebab-case consistently
- No category folder - Put in research/, spikes/, etc.
- Creating without template - Use helper scripts
- Leaving artifacts incomplete - Finish or delete
- Not archiving ADRs - Move completed ADRs to
completed/ - Creating permanent docs as artifacts - Use
for permanent documentationdocs/
Key principle: Artifacts are temporary work products with standardized structure. They support development but aren't permanent documentation.
Remember: Use helper scripts for consistency, organize by date, and archive/delete when complete.