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Get Started Free →majiayu000/agent-selector-skill
Selects and configures agents from the agents repo based on PRD tech stack. Runs after task decomposition, before specification generation.
Passed 18 of 22 test cases with the skill, and 4 of 22 without it.
and 28 more in the full report
16 fixed2 passed either way2 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.
The user selected option [A] Accept on the agent selection card. What shell command must be run to pull and setup the required agent files locally?
| Checked | Without skill | With skill |
|---|---|---|
| Executes command ./scripts/pull-agents.sh --config .claude/agent-config.json to download selected agents | Missed | Passed |
The instructions your model reads when the skill loads.
Triggered after Phase 5 (Task Decomposition) completes:
[ACTIVATE:AGENT_SELECTOR_V1]
Analyze PRD to determine optimal agent selection for the project.
Read PRD Section 8 (Technical Architecture) and identify:
languages:
- primary: TypeScript
- secondary: Python
frameworks:
- frontend: Next.js, React
- backend: FastAPI
databases:
- primary: PostgreSQL
- graph: Neo4j
infrastructure:
- cloud: AWS
- containers: Docker, Kubernetes
- iac: Terraform
special_domains:
- ml: false
test cases passed, vs 4 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.