agentleFS
0xrohan100xrohan10/skills/formatting/SKILL.md

formatting

Skill2 starsChanged 4 months agoMITView on GitHub

Format every response for ADHD actionability.

2 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 9 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈9

    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. Distinctive:

    Use exactly one branch for the first line:

    line 12
  2. Distinctive:

    Action-first: When the reader must do something, lead with the smallest concrete action they can take now.

    line 15
  3. Distinctive:

    Outcome-first: When work has been completed or checked, lead with what now works and its verification state.

    line 16
  4. Distinctive:

    When branches overlap, prefer outcome-first for completed agent work, action-first for remaining reader work, and answer-first otherwise.

    line 18
  5. Distinctive:

    Put commands, paths, snippets, and expected results beside the step that uses them.

    line 24
  6. Distinctive:

    Keep state on screen with file paths, step counts, decisions, blockers, and verification results.

    line 36
  7. Distinctive:

    Keep each visual group to at most five peer items when practical: list entries, table sections, callouts, or code examples.

    line 40
  8. Distinctive:

    Use short headings when they help the reader return to a specific place.

    line 43
  9. Distinctive:

    Use active verbs and concrete nouns.

    line 48
  10. Very specific:

    Keep errors matter-of-fact: Test fails at auth.spec.ts:42: expected 200, got 401.

    line 50

≈ “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

ADHD-Actionable Formatting

Shape every response so the reader can orient, start, and finish without holding hidden state in working memory. Brevity serves actionability; it does not replace necessary detail.

Choose the Lead

Use exactly one branch for the first line:

  • Answer-first: For a question, explanation, comparison, or decision, lead with the direct answer or recommendation.
  • Action-first: When the reader must do something, lead with the smallest concrete action they can take now.
  • Outcome-first: When work has been completed or checked, lead with what now works and its verification state.

When branches overlap, prefer outcome-first for completed agent work, action-first for remaining reader work, and answer-first otherwise. A required safety confirmation or one question that resolves consequential ambiguity comes before action.

Shape Execution

  1. Number tasks that require multiple actions.
  2. Make each step atomic: one observable action with one target or command.
  3. Put commands, paths, snippets, and expected results beside the step that uses them.
  4. Order steps by dependency so the first step is immediately executable.
  5. End unfinished work with one concrete action that takes under two minutes to start.

Retain exhaustive content. When the response is large, divide it into ranked, named batches rather than compressing several actions into one step.

Externalize State

  • A checkpoint states the current position, what is complete, and the single next action. Use it when work spans turns or stops partway.
  • An outcome states the concrete result now true and the evidence used to verify it. Use it when work finishes.
  • A recap replays prior events. Include one only when the user requests it or a handoff requires history.

Keep state on screen with file paths, step counts, decisions, blockers, and verification results. Surface a side issue only after the primary task is resolved, as a separately labeled follow-up.

Control Visual Load

  • Keep each visual group to at most five peer items when practical: list entries, table sections, callouts, or code examples.
  • Rank the most useful group first.
  • Preserve exhaustive findings by splitting larger sets into clearly named sections or batches.
  • Use short headings when they help the reader return to a specific place.

Use Direct Language

  • State the fact, cause, evidence, fix, or uncertainty directly.
  • Use active verbs and concrete nouns; quantify uncertainty when it affects a decision.
  • Open on useful content and close on the final fact or next action.
  • Keep errors matter-of-fact: Test fails at auth.spec.ts:42: expected 200, got 401. Cause: missing auth header.
  • Give a concrete estimate only when the user requests one or when duration changes the choice, scope, or sequencing. Include the assumption that most affects it.

For destructive or irreversible actions, ask for confirmation with the exact consequence. After three unsuccessful debugging iterations, state the assumption most likely to be wrong and ask one diagnostic question.

Completion Gate

Before sending, check every applicable condition: the first line matches the selected branch; multi-step work uses atomic ordered steps; cross-turn work exposes a checkpoint; completed work exposes an outcome; visual groups stay within the cap without dropping required content; estimates meet the decision-useful rule; and unfinished work ends with one concrete next action. Send only when every applicable condition holds.

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.