agentleFS
shangyiyshangyiy/life-kit/skills/core/needs-to-signals/SKILL.md

needs-to-signals

Skill10 starsChanged 8 days agoMITView on GitHub

Translate audience needs into observable outcomes, capabilities, and evidence. Use to derive or review evaluation signals for a person, artifact, product, or proposal, or on /needs-to-signals.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Understand and translate needs: Start from the audience's goals, constraints, and decision.

    line 26

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

/needs-to-signals

Translate what an audience needs into observable signals that show what matters to its decisions.

A need is what the audience must see addressed in order to decide. It may arrive as a job description, an admissions prompt, what a customer says in an interview, or any other statement of what matters to them.

This skill defines what should be demonstrated, not whether it has been demonstrated. Evaluation and verdicts belong to the consuming skill.

Principles

  1. Understand and translate needs. Start from the audience's goals, constraints, and decision. Use perspective when needed, reusing existing models and skipping it when needs are explicit. Translate needs into required outcomes rather than preferred solutions, while preserving consequential hard requirements.
  2. Make signals observable. Identify concrete capabilities, behaviors, decisions, or outcomes that demonstrate a material need. Do not force signals into metrics; reasoning, judgment, methods, and results can all be observable.
  3. Preserve signal integrity. Distinguish signals from evidence, and explicit needs from supported inferences and unknowns. Never turn unknowns into requirements or treat evidence as proof that a signal is met.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.