To Prompt

SkillAI & models

Turn code, issues, or context into a handoff brief for another LLM — relevant context and preserved user decisions, written to docs/prompts/. Use when packaging a bug fix, an improvement, or a feature request for an external LLM to implement. Don't use for simple one-shot questions or end-user-facing copy.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the To Prompt skill

What this skill tells your AI

The instructions your AI receives, as published by pedronauck/skills in skills/mine/to-prompt/SKILL.md and read by ahel’s review.

Write a brief, not a solution. The brief carries everything the receiving LLM needs to choose the implementation itself — the problem, the current state, the requirements, the constraints — and preserves any implementation constraints or approved plan already supplied by the user. Leave undecided design choices to the receiver; do not erase accepted decisions to manufacture an open-ended problem.

Every brief is a file: docs/prompts/<YYYYMMDD-HHmm>_<slug>.md (e.g. docs/prompts/20260709-1745_fix-auth-redirect.md).

Steps

  1. Classify the task — bug fix, improvement, or feature — and draft a one-paragraph statement of the problem and the outcome wanted.
  2. Gather the evidence. Read the code paths involved; quote current code as it exists; capture the relevant error/log excerpts, excluding credentials and unrelated private data; note environment and recent changes. Done when: every claim in the brief is backed by something you actually read or ran.
  3. Write the brief from the template. Copy assets/brief-template.md to docs/prompts/<YYYYMMDD-HHmm>_<slug>.md (create the directory if absent; slug = lowercase-hyphenated summary; timestamp = now). Fill the applicable sections and remove guidance comments. Record consequential unknowns; omit irrelevant sections.
  4. Check decision fidelity. Separate user-approved constraints from suggestions and unresolved choices. Preserve the requested outcome and authorization; avoid introducing new implementation mandates.
  5. Hand off. Reply with the file path and a one-line summary of what the brief asks for.

Bundled files

  • assets/brief-template.md — the brief's skeleton and per-type coverage guidance; the single source of truth for what a complete brief contains.

Signals

GitHub stars
611
Forks
88
Last commit
Sep 2026

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to-prompt-pedronauck
Source
github.com/pedronauck/skills