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.

Vedi sorgente

Come usare

  1. Copia il comando e controlla il pacchetto prima di installarlo nel tuo ambiente agente.
  2. Controlla strumenti, credenziali e ambienti richiesti nel documento originale.
  3. Descrivi input e risultato desiderato; confronta l’output con le fonti.
npx skills add https://github.com/brilliantrough/agent-skills --skill grill-with-docs

Prima di iniziare

  • L’installazione non include abbonamenti, quote API o accesso ai file.
  • Stelle e installazioni indicano attività, non un test indipendente di qualità o sicurezza.
Documento Skill originale

Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.

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

Correlati per attività

dallo stesso repository

Altri Skills

Tutti gli 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\".

Installazioni / 1h
2
GitHub Stars
5
Aggiornato
25 set
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.

Installazioni / 1h
2
GitHub Stars
5
Aggiornato
25 set
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

Installazioni / 1h
2
GitHub Stars
5
Aggiornato
25 set
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

Installazioni / 1h
2
GitHub Stars
5
Aggiornato
25 set