decision-brief
Skill4 starsChanged 6 months agoMITView on GitHub
Generate a crisp 1-page decision brief for any product decision — options, trade-offs, risks, and a clear recommendation. Faster than a full PRD for tactical calls. Use when you need to align stakeholders on a decision, not just report a conclusion.
8 other projects use a version of this.
Adopted by
Most recently taken up by
- parker-brown-family/agent-skillstheir own version, first seen Nov 8, 2026
- rajasdevel/outcomeboundtheir own version, first seen Nov 1, 2026
- zommuter/dotclaude-skillstheir own version, first seen Oct 28, 2026
- hollandkevint/thinkhaven-method-kittheir own version, first seen Oct 20, 2026
- oswarld/notion-skillstheir own version, first seen Sep 23, 2026
- tmusser/context-to-action-skillstheir own version, first seen Sep 16, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- oswarld/notion-skills★ 11same name
- zommuter/dotclaude-skills★ 4same name
- kayspiegel/survey-insight-skills★ 2same name
- tmusser/context-to-action-skills★ 2same name
- Ootto-AI/claude-reporting-skills★ 1same name
- parker-brown-family/agent-skills★ 1same name
- hollandkevint/thinkhaven-method-kit★ 0same name
- rajasdevel/outcomebound★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository17 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- churn-signalSkill
- debateSkill
- design-an-interfaceSkill
- docxSkill
- impact-sizingSkill
- interview-analysisSkill
- learnSkill
- parallel-prototypeSkill
- pdfSkill
- pptxSkill
- rapid-prototypeSkill
- recallSkill
- roadmap-narrativeSkill
- sprint-healthSkill
- web-browserSkill
- xlsxSkill
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 8 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
8
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
- Distinctive: line 16
If no input, ask:
- Distinctive: line 19
If input is a statement (not a question), reframe it as a decision question: "Whether to [X]" or "Which approach to take for [X]".
- Distinctive: line 25
Before exploring options, nail the framing:
- Distinctive: line 33
Decision deadline: When does this need to be made?
- Distinctive: line 47
If you find useful context, weave it into the brief.
- Distinctive: line 129
After presenting the brief, offer:
- Distinctive: line 139
Separate assumptions from facts: If the recommendation rests on an unvalidated assumption, name it.
- Distinctive: line 140
One next step: Always. Decisions that end with no action become permanent debates.
“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.
Files
Decision Brief Skill
Produce a structured 1-page brief for any product decision — from "should we build this feature?" to "which technical approach should we take?" to "do we cut scope or delay the launch?".
Input: $ARGUMENTS
Accepts:
/decision-brief [the decision]— State the decision directly/decision-brief— Will ask interactively
If no input, ask:
"What's the decision you're trying to make? Describe it in one sentence — even rough is fine."
If input is a statement (not a question), reframe it as a decision question: "Whether to [X]" or "Which approach to take for [X]".
Phase 1: Frame the Decision
Before exploring options, nail the framing:
- Decision owner: Who is making this decision? (If not stated, leave blank)
- Decision type: Classify it
- Strategic — affects product direction, positioning, or major investment
- Tactical — affects execution approach, scope, or timeline
- Reversible — can be undone with low cost (e.g., feature flag rollout)
- Irreversible — hard to undo (e.g., data migration, customer-facing deprecation)
- Decision deadline: When does this need to be made?
- Decision context: What triggered this? What happened to make this decision necessary now?
Phase 2: Enrich Context
Attempt to pull relevant context before generating the brief. Do not block on any source.
- Jira: Any related tickets, past decisions, or linked work
- Confluence / Glean: Prior research, strategy docs, or similar decisions made before
- Amplitude: Any usage data relevant to the decision
- Intercom: Any customer signal that informs the options
If you find useful context, weave it into the brief. If nothing is found, proceed without it.
Phase 3: Generate the Brief
# Decision Brief: [Decision Question]
**Owner**: [Name or role]
**Date**: [Today's date]
**Deadline**: [When this must be decided]
**Type**: Strategic / Tactical | Reversible / Irreversible
---
## Context
[2-3 sentences: what's the situation and what triggered this decision?]
---
## Options
### Option A: [Name]
**What it is**: [Plain-English description]
**Why it's appealing**: [The genuine upside]
**Risks**: [What could go wrong]
**Effort**: [Rough estimate — days/weeks/months]
**Reversibility**: [Easy to undo / Hard to undo]
### Option B: [Name]
[Same structure]
### Option C: [Name — if applicable]
[Same structure, or "Don't act / defer" as a default third option]
---
## Trade-off Summary
| | Option A | Option B | Option C |
|---|---|---|---|
| Speed | | | |
| Customer impact | | | |
| Risk | | | |
| Reversibility | | | |
| Alignment with strategy | | | |
---
## Key Assumptions
[What must be true for each option to work? Which assumptions are most uncertain?]
---
## Recommendation
**Recommended option**: [Option X]
**Reasoning**: [2-3 sentences — why this option, why now, what seals it]
**Conditions**: [Any conditions that would change this recommendation — "unless X, in which case Option B"]
**Next step**: [The single most important action to take after this decision is made]
---
## Open Questions
- [ ] [Question that needs answering to execute this decision]
- [ ] [Question that someone else needs to answer]
---
## Stakeholders to Inform
- [Name/role — what they need to know]
- [Name/role — what they need to decide or approve]Phase 4: Offer Refinement
After presenting the brief, offer:
"Want me to pressure-test the recommendation with
/debate, turn this into a Confluence page, or draft a Slack message to share the decision?"
Principles
- Name the recommendation clearly. Briefs that hedge ("it depends") are useless. Pick an option and defend it.
- Three options minimum. "Do X" vs "Don't do X" is lazy. Include a third option (often "defer and learn more") to force real comparison.
- Reversibility matters. Label it explicitly — it changes how much deliberation the decision deserves.
- Separate assumptions from facts. If the recommendation rests on an unvalidated assumption, name it. That's the risk.
- One next step. Always. Decisions that end with no action become permanent debates.
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
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.

