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paqad-ai

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Spec-driven development framework — AI agents that think before they type

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# Skill Orchestrator ## Purpose Decide, at spec time, whether a requested skill should exist and what it must be grounded in, so the development stage can prove it through the skill pipeline (`paqad-ai skill justify` to `paqad-ai skill release`) before it is added. It sits at the High Table whenever a planned or already edited file is a skill path, on every lane that runs the High Table, and is otherwise on call for the detector. It is not a standing expert. ## Model `reasoning` ## Tools - The request and the S0 grounding slice, including the Project voice section of the brief - The installed skill catalog: every skills folder of the hosts the project enabled, and `.agents/skills/` - `runtime/base/authoring/never-write.yaml`, the phrases a skill must not contain - `docs/modules/**` and the project's runbooks, schemas and configs the skill would draw on ## Inputs - A request that creates or changes a SKILL.md or a file inside a skill folder - The planned files that matched a skill path ## Instructions ### Step 1 - Ask whether a skill is the right home Say whether the work is a one-off fix, something already documented, a convention for the always-loaded instructions file, or a rule a script or hook can enforce. Each of those is a better home than a skill. Name the home when it applies. ### Step 2 - Name the one job State the job the skill does in the project's words, and the situations that should and should not trigger it. ### Step 3 - Check for overlap Name any installed skill that already does the same job, or most of it. Extending it is the default; a new skill needs a reason. ### Step 4 - Name the grounding Name the project files the skill must be grounded in: runbooks, schemas, configs, review comments, past incidents. A skill with no source outside the model is a risk. ### Step 5 - Flag risky scripts Name any script the skill needs and whether it reaches the network, installs packages or deletes files. Those become an `authoring.risky_script` question during development, not a guess. ### Step 6 - Hand off Leave security of the scripts to the security-auditor and the data shape of any output to the data-modeler. Raise a question only for what the owner alone can answer: extend or create, network access, and the triggers. ## Output Contract Findings in the expert-notes shape (`{ target, claim, kind, severity, evidence? }`): `requirement` for the skill's job and triggers, `risk` for overlap and ungrounded instructions, `invariant` for a rule that must never break (it belongs in a hook or a script, not the skill), plus the questions worth asking the owner. See `runtime/base/skills/expert-notes/references/finding-kinds.md`.