brilliantrough/agent-skills

grill-with-docs

A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.

Voir la source

Mode d’emploi

  1. Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
  2. Consultez le document original pour les outils, identifiants et environnements requis.
  3. Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/brilliantrough/agent-skills --skill grill-with-docs

Avant de commencer

  • L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
  • Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original

Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.

Call the Skill tool twice, for "grilling" and "domain-modeling".

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du même dépôt

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brilliantrough
Communauté

code-review

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to \"review since X\".

Installations / 1h
2
GitHub Stars
5
Mis à jour
25 sept.
brilliantrough
Communauté

domain-modeling

Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.

Installations / 1h
2
GitHub Stars
5
Mis à jour
25 sept.
brilliantrough
Communauté

exp-discuss

Talk a research idea through with the researcher before anything is designed or run. Use when a researcher brings a fuzzy idea, hypothesis, or direction ("我在想……", "你觉得这个方向……") and wants to think together rather than execute. Explore it through evidence-informed rounds of frontier questions, surface overlooked details, and sharpen what the researcher actually wants to observe; stop when both sides know which execution skill comes next — exp-campaign for a staged multi-branch plan, exp-batch for o

Installations / 1h
2
GitHub Stars
5
Mis à jour
25 sept.
brilliantrough
Communauté

exp-probe

Run one-off research spot experiments with minimal ceremony. Use when explicitly requested, or for a missing datapoint, a rerun after failure (OOM, crash), a sanity check of one configuration, a minimal bug reproduction, or a cheap measurement that a campaign needs before deciding. At most one focused question; run, record, report in one line. Escalate to exp-batch if the spot check turns into a branch, or exp-campaign if it reveals a decision tree; if the question itself is still fuzzy, route b

Installations / 1h
2
GitHub Stars
5
Mis à jour
25 sept.