Skill Chain Prompts
Orchestrate multi-skill workflows with prompt-based skill chaining.
by 4444j99 · MIT
The skill
Orchestrate multi-skill workflows with prompt-based skill chaining. Define sequential or parallel skill invocations using YAML chain definitions, track progress through chains, and use pre-built chains for development, documentation, and career workflows. Use when coordinating multiple skills for complex tasks.
Skill Chain Prompts
Orchestrate complex workflows by chaining multiple skills together. Define sequences, track progress, and use pre-built chains for common development patterns.
Concept
A chain is a sequence of skills that work together to accomplish a larger goal. Each step invokes a skill, passes context forward, and tracks completion. Chains work through Claude's sequential processing—no external engine required.
Quick Reference
Chain Format
chain:
name: "my-workflow"
description: "What this chain accomplishes"
steps:
- id: first
skill: skill-name
description: "What this step does"
outputs: [artifact1, artifact2]
- id: second
skill: another-skill
depends_on: [first]
checkpoint: true # Pause for review
- id: third
skill: final-skill
depends_on: [second]
optional: true # Can be skipped
Commands
| Command | Purpose |
|---|---|
/skill-chain-prompts run <chain> |
Execute a named chain |
/skill-chain-prompts list |
Show available chains |
/skill-chain-prompts status |
Display current progress |
/skill-chain-prompts resume |
Continue from checkpoint |
/skill-chain-prompts skip |
Skip current optional step |
Pre-Built Chains
Development Workflows
api-development — Full API from design to deployment
api-design-patterns → tdd-workflow → backend-implementation-patterns → verification-loop → deployment-cicd
fullstack-feature — Complete feature implementation
product-requirements-designer → api-design-patterns → backend-implementation-patterns → frontend-design-systems → testing-patterns → verification-loop
mcp-development — MCP server creation
mcp-builder → testing-patterns → verification-loop → mcp-server-orchestrator
Professional Workflows
career-preparation — Job search readiness
cv-resume-builder → portfolio-presentation → interview-preparation → networking-outreach
documentation — Project documentation
technical-analytical-writing → github-repository-standards → github-profile-architect
Usage Examples
Run a Pre-Built Chain
User: /skill-chain-prompts run api-development
Claude: Starting chain: api-development
"Full API development from design to deployment"
Step 1/5: design (api-design-patterns)
Invoking /api-design-patterns...
Check Progress
User: /skill-chain-prompts status
Claude: ## Chain Progress: api-development
| Step | Skill | Status | Notes |
|------|-------|--------|-------|
| design | api-design-patterns | ● Done | OpenAPI spec created |
| test-first | tdd-workflow | ◐ Active | Writing endpoint tests |
| implement | backend-implementation-patterns | ○ Pending | |
| verify | verification-loop | ○ Pending | |
| deploy | deployment-cicd | ⊖ Optional | |
**Progress**: 2/5 steps (40%)
**Current**: test-first
Create Custom Chain
User: I need a chain for building a CLI tool
Claude: Creating custom chain...
chain:
name: "cli-tool"
description: "Build a CLI application"
steps:
- id: design
skill: api-design-patterns
description: "Design CLI interface and commands"
- id: implement
skill: backend-implementation-patterns
depends_on: [design]
- id: test
skill: testing-patterns
depends_on: [implement]
- id: docs
skill: technical-analytical-writing
depends_on: [implement]
optional: true
Ready to execute?
State Tracking
Progress is tracked in the conversation using markdown tables:
## Chain Progress: fullstack-feature
| Step | Skill | Status | Notes |
|------|-------|--------|-------|
| requirements | product-requirements-designer | ● Done | PRD complete |
| api | api-design-patterns | ● Done | 12 endpoints |
| backend | backend-implementation-patterns | ◐ Active | 8/12 endpoints |
| frontend | frontend-design-systems | ○ Pending | |
| testing | testing-patterns | ○ Pending | |
| verify | verification-loop | ○ Pending | |
**Progress**: 2.5/6 steps (42%)
**Checkpoint**: After verify
Status Icons
| Icon | Meaning |
|---|---|
| ○ | Pending |
| ◐ | In Progress |
| ● | Complete |
| ⊖ | Optional/Skipped |
| ✕ | Failed |
Checkpoints
Checkpoints pause the chain for review:
- id: verify
skill: verification-loop
depends_on: [implement]
checkpoint: true # Chain pauses here
At a checkpoint:
- Chain pauses and shows summary
- User reviews artifacts and progress
/skill-chain-prompts resumecontinues- Or user can modify, redo, or abort
Best Practices
- Start with pre-built chains — Customize as needed
- Use checkpoints — Add after critical steps for review
- Mark optional steps — Deployment, documentation often optional
- Keep chains focused — 3-7 steps is ideal
- Pass context forward — Reference outputs from prior steps
References
references/chain-format.md— Complete YAML specificationreferences/execution-model.md— How chains are processedreferences/state-tracking.md— Progress visualization formatsreferences/built-in-chains.md— All pre-built chains documented
Chain Templates
Pre-built chain files in assets/chains/:
api-development.yamlfullstack-feature.yamlcareer-preparation.yamlmcp-development.yamlcustom-chain.yaml— Blank template
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: 4444j99/skill-chain-prompts-10201679270.
Details
- Publisher
- 4444j99
- Category
- AI & Agents › Orchestration & multi-agent
- License
- MIT
- Updated
- 2026-10-17
References
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