agentleFS
tmussertmusser/context-to-action-skills/skills/decision-brief/SKILL.md

decision-brief

Skill2 starsChanged 59 days agoMITView on GitHub

Create a lightweight decision snapshot from messy workplace context and supporting evidence.

8 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

6 rules. 0 are common, 6 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 7 edited versions we read keep these.

  • 6

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Treat analytics outputs as evidence, not as a separate analytics workflow.

    line 29
  2. Distinctive:

    Use only the useful subset of source-backed facts, assumptions, source gaps, stakeholder sensitivities, potential misreads, and the …

    line 36
  3. Distinctive:

    Use the smallest useful output.

    line 38
  4. Distinctive:

    When consuming upstream state, do not promote an assumption, inference, open question, proposed action, or stakeholder position into a …

    line 40
  5. Distinctive:

    Keep unresolved approvals, owners, timing, and blockers explicit in the recommendation.

    line 43
  6. Distinctive:

    Do not send, publish, update tickets, create events, or mutate systems unless explicitly asked.

    line 44

“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “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

decision-brief

Purpose

Build a lightweight decision snapshot from mixed workplace context, ticket history, and evidence.

Use For

  • Lightweight decision support
  • Recommendation requests
  • Turning debate and evidence into a clear next step

Inputs

  • Notes or context thread
  • Ticket or project context
  • Supporting evidence
  • Hex or other data output
  • A reduce-to-facts ledger or conversation-state record

Guardrails

  • Read before write.
  • Treat analytics outputs as evidence, not as a separate analytics workflow.
  • Separate source-backed evidence from assumptions.
  • Make trade-offs and reversal cost visible.
  • Surface source gaps and uncertainty.

Portable Output Contract

  • Use only the useful subset of source-backed facts, assumptions, source gaps, stakeholder sensitivities, potential misreads, and the suggested next action.
  • Use the smallest useful output.
  • Label assumptions and preserve source gaps, source anchors, and confidence labels.
  • When consuming upstream state, do not promote an assumption, inference, open question, proposed action, or stakeholder position into a fact, decision, commitment, owner, or deadline without new source support.
  • Keep unresolved approvals, owners, timing, and blockers explicit in the recommendation.
  • Do not send, publish, update tickets, create events, or mutate systems unless explicitly asked.

Output

  • Recommendation
  • Decision needed
  • Options
  • Trade-offs
  • Evidence
  • Risks
  • Reversal cost
  • Next step

Success Standard

The snapshot should help someone make or frame a decision within 5 minutes.

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.