Best use case
Spec is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
## Command
Teams using Spec 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/spec/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Spec Compares
| Feature / Agent | Spec | 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?
## Command
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.
SKILL.md Source
# Spec ## Command /spec <feature_name> [--depth brief|full] ## Purpose Generate a technical specification for a feature or system change. ## Arguments | Arg | Type | Required | Description | |-----|------|----------|-------------| | feature_name | string | Yes | Feature to spec | | --depth | string | No | Spec depth: brief (1-page) or full (complete). Default: full | ## Output Genre: spec Format: Markdown technical specification Produces: 1. **Goal** -- what and why 2. **Requirements** -- numbered with acceptance criteria 3. **Constraints** -- what's off the table 4. **Architecture** -- system design, affected services, API contracts 5. **Test Plan** -- what to test, edge cases 6. **Rollback Plan** -- how to undo if needed ## Agent Activation 1. **tech-lead** (wave 1): Requirements, constraints, acceptance criteria 2. **architect** (wave 1): System design, API contracts, data model ## Process ``` 1. Tech-lead defines requirements and constraints 2. Architect designs system integration and API contracts 3. Combined into single spec document per tech-lead's template 4. Tech-lead reviews and approves final spec ``` ## Examples ``` /spec "user-search-feature" /spec "api-rate-limiting" --depth brief ```
Related Skills
Prospect
## Command
create-spec
Guided spec creation through 9 phases from discovery to testing strategy. Supports spec types: library, feature, change. Produces a complete specification document with requirements, architecture, constraints, and YAML test data. Interactive or autonomous modes. Triggers on: "create spec", "write spec", "spec out", "specification", "design document"
/do
> The agent's primary skill. Customize this to match your agent's purpose.
/report
> Generate structured reports. Director-owned.
/primary
> Main workflow execution and routing. Director-owned.
Qualify
## Command
Close Plan
## Command
Battlecard
## Command
Schedule
## Command
Repurpose
## Command
Ideate
## Command
Analyze
## Command