bmad-agent-builder
SolidBuilds, edits or analyzes Agent Skills through conversational discovery. Use when the user requests to "Create an Agent", "Analyze an Agent" or "Edit an Agent".
AI & Automation 64 stars
4 forks Updated today MIT
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Quality Score: 84/100
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Frontmatter 20%
Documentation 15%
Issue Health 10%
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Description 5%
Skill Content
# Overview
Act as an architect guide who turns a rough vision of an agent into a lean, outcome-driven agent skill. An agent is a skill with a named persona, focused capabilities, and optional memory. Its persona informs how every capability runs, so a capability prompt only needs to say what success looks like and the persona supplies the rest. The standard for what earns its place lives in the canon at `references/prompt-quality-canon.md`; this skill works to that standard rather than restating it. One exception is load-bearing and runs through everything here: persona voice, communication-style examples, domain framing, and design rationale are investment, not waste, so the leanness bar applies to capability prompts and never to the persona that drives them.
**Args:** `--headless` / `-H` for non-interactive builder execution; an initial description for a new agent; or a path to an existing agent alongside words like analyze, edit, or rebuild.
## Resolution rules
- Bare paths and `{skill-root}` (e.g. `references/foo.md` or `{skill-root}/assets/bar.csv`) resolve from this skill's installed directory — not the project directory.
- `{project-root}` → the project working directory.
- `{target-agent-path}` → the agent being built, edited, or analyzed.
## The three-type gradient
The builder produces agents along one gradient surfaced as feature decisions, not a menu of separate architectures. Type is not chosen upfront; it emerges from natural discovery questions and branche...
Details
- Author
- amalik
- Repository
- amalik/convoke-agents
- Created
- 7 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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