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.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/brilliantrough/agent-skills --skill grill-with-docs

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

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

Verwandte Aufgaben

aus demselben Repository

Weitere Skills

Alle Skills
brilliantrough
Community

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\".

Installationen / 1h
2
GitHub Stars
5
Aktualisiert
25. Sept.
brilliantrough
Community

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.

Installationen / 1h
2
GitHub Stars
5
Aktualisiert
25. Sept.
brilliantrough
Community

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

Installationen / 1h
2
GitHub Stars
5
Aktualisiert
25. Sept.
brilliantrough
Community

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

Installationen / 1h
2
GitHub Stars
5
Aktualisiert
25. Sept.