skill-chain-prompts
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.
Best use case
skill-chain-prompts is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using skill-chain-prompts should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/skill-chain-prompts/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How skill-chain-prompts Compares
| Feature / Agent | skill-chain-prompts | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# 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
```yaml
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
```
doc-coauthoring → 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: doc-coauthoring
depends_on: [implement]
optional: true
Ready to execute?
```
## State Tracking
Progress is tracked in the conversation using markdown tables:
```markdown
## 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:
```yaml
- id: verify
skill: verification-loop
depends_on: [implement]
checkpoint: true # Chain pauses here
```
At a checkpoint:
1. Chain pauses and shows summary
2. User reviews artifacts and progress
3. `/skill-chain-prompts resume` continues
4. Or user can modify, redo, or abort
## Best Practices
1. **Start with pre-built chains** — Customize as needed
2. **Use checkpoints** — Add after critical steps for review
3. **Mark optional steps** — Deployment, documentation often optional
4. **Keep chains focused** — 3-7 steps is ideal
5. **Pass context forward** — Reference outputs from prior steps
## References
- `references/chain-format.md` — Complete YAML specification
- `references/execution-model.md` — How chains are processed
- `references/state-tracking.md` — Progress visualization formats
- `references/built-in-chains.md` — All pre-built chains documented
## Chain Templates
Pre-built chain files in `assets/chains/`:
- `api-development.yaml`
- `fullstack-feature.yaml`
- `career-preparation.yaml`
- `mcp-development.yaml`
- `custom-chain.yaml` — Blank templateRelated Skills
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taxonomy-modeling-design
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systemic-ingestion-normalization
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workshop-presentation-design
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