decide
Skill19 starsChanged 8 months agoMITView on GitHub
Three-agent adversarial debate protocol for strategic decisions. Two advocates steelman opposing positions while a moderator identifies risks and synthesizes a binding consensus. Use when choosing between alternatives, evaluating tradeoffs, or making high-stakes decisions.
51 other projects use a version of this.
Adopted by
Most recently taken up by
- aditya-vermax/skillstheir own version, first seen Nov 8, 2026
- vimkim/my-skillstheir own version, first seen Nov 8, 2026
- yuri-xyz/skillstheir own version, first seen Nov 8, 2026
- blamechris/chroxytheir own version, first seen Nov 8, 2026
- Integralist/agent-skillstheir own version, first seen Nov 6, 2026
- ArcticFox2029/chamnantheir own version, first seen Nov 5, 2026
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Other versions51 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 51
- ParadevAI/Paradev★ 16ksame name
- superset-sh/superset★ 16ksame name
- coreyhaines31/makerskills★ 893same name
- me2resh/apexyard★ 542same name
- menkesu/awesome-pm-skills★ 441same name
- BlockRunAI/blockrun-mcp★ 389same name
- kv0906/pm-kit★ 138same name
- Abilityai/cornelius★ 109same name
- me2resh/agent-decision-record★ 48same name
- seandavi/lifeos-template★ 46same name
41 more not listed
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 repository53 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/skills/agent-rules/AGENTS.mdAGENTS.md
- .github/workflows/AGENTS.mdAGENTS.md
- pkg/AGENTS.mdAGENTS.md
- agent-ready-goSkill
- agent-rulesSkill
- architecture-designerSkill
- cli-developerSkill
- cloudformation-to-pulumiSkill
- code-reviewerSkill
- commitlintSkill
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- dep-upgradeSkill
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- pulumi-best-practicesSkill
- pulumi-cdk-to-pulumiSkill
- pulumi-cliSkill
- pulumi-componentSkill
- pulumi-escSkill
- pulumi-goSkill
- pulumi-neoSkill
- pulumi-pythonSkill
- pulumi-terraform-to-pulumiSkill
- pulumi-typescriptSkill
- python-proSkill
- reviewSkill
- roadmapSkill
- rust-async-patternsSkill
- rust-best-practicesSkill
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The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 10 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 50 edited versions we read keep these.
10
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 18
Run a structured three-agent debate to reach consensus on a strategic decision.
- Distinctive: line 30
Before running the debate, verify the input contains a genuine decision with at least two distinguishable options or courses of action.
- Distinctive: line 33
If the input is a factual question, explanation request, or single-option statement, respond directly instead: "This protocol works best …
- Distinctive: line 38
When in doubt, proceed — err on the side of running the debate.
- Distinctive: line 44
Read project documentation and context files to understand the decision space.
- Distinctive: line 55
If the topic naturally implies two sides (e.g., "gRPC vs REST"), use those directly.
- Distinctive: line 75
If all conditions pass, present the brief and proceed to Phase 1:
- Distinctive: line 85
If any condition fails, present the brief and ask the user whether to reframe or proceed as-is.
- Distinctive: line 110
After all three agents complete, present to the user:
- Distinctive: line 151
Ask the user if they want to save the consensus.
“Common” is measured: kept by at least 6 in 10 of the 50 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
<!-- Copyright 2025-2026 Richard Shade. Licensed under Apache-2.0. --><!-- SPDX-License-Identifier: Apache-2.0 -->Adversarial Consensus Protocol
Run a structured three-agent debate to reach consensus on a strategic decision. Two advocates steelman opposing positions while a moderator asks hard questions, identifies risks, and synthesizes the binding consensus.
Why this works: adversarial structure surfaces arguments brainstorming misses. Evidence-grounded research prevents epistemic closure. Forced concessions in Round 2 prevent entrenchment. The moderator writes the binding consensus after hearing both sides.
Pre-flight validation
Before running the debate, verify the input contains a genuine decision with at least two distinguishable options or courses of action.
If the input is a factual question, explanation request, or single-option statement, respond directly instead: "This protocol works best when choosing between alternatives. Could you rephrase with the options you're weighing, or ask me directly?"
When in doubt, proceed — err on the side of running the debate.
Phase 0: Research and frame the decision
Step 0.1: Gather context
Read project documentation and context files to understand the decision space. Common sources include README, architecture docs, product docs, recent git history, and any files the user referenced.
Step 0.2: Identify the two positions
From the decision topic, formulate two clear, opposing positions:
- Position A: one side of the decision
- Position B: the opposing side
If the topic naturally implies two sides (e.g., "gRPC vs REST"), use those directly. If the topic is open-ended (e.g., "pricing strategy"), research the space and formulate the two strongest opposing approaches.
Step 0.3: Identify constraints
Extract hard constraints from the user's message or project docs: budget limits, timeline requirements, team size, technical constraints, business requirements, non-negotiable values.
Step 0.4: Present brief
Generate the debate brief before proceeding. Evaluate against three conditions:
- Can the two positions be stated without significant overlap?
- Is the question genuine (not leading or presupposing an answer)?
- Are there at least two meaningfully distinct outcomes?
If all conditions pass, present the brief and proceed to Phase 1:
Decision: [one-line summary]
Position A: [name] — [one-sentence description]
Position B: [name] — [one-sentence description]
Constraints: [list any hard constraints]
Launching Round 1...If any condition fails, present the brief and ask the user whether to reframe or proceed as-is.
Phase 1: Round 1 — position papers
Launch three agents in parallel. Each agent runs independently and cannot read the others' output.
- Advocate A: steelman Position A. Research externally to find at least 2 supporting sources. Write a comprehensive position paper with architecture, implementation plan, costs, timelines, risks, and mitigations. Cite sources inline.
- Advocate B: steelman Position B with the same structure and research requirements as Advocate A.
- Moderator: critically examine both positions using external counter-evidence. Find at least 2 sources that challenge each position. List the 10 hardest questions (5 per position), identify the 5 biggest risks per approach, propose a hybrid model, and reach a preliminary recommendation.
Compose agent prompts following
references/debate-prompts.md — Round 1 section.
Synthesize Round 1
After all three agents complete, present to the user:
- Where all three agree — table of consensus points
- Where they disagree — table of tensions with each agent's position
- Brief commentary on the key tensions
Then immediately proceed to Round 2.
Phase 2: Round 2 — forced convergence
Launch three agents in parallel. Each agent receives a summary of the other agents' arguments and must respond.
- Revised Advocate A: respond to the strongest challenges from Advocate B and the Moderator. Concede valid points honestly, defend where Position A remains strongest, and state a revised position.
- Revised Advocate B: same structure as Revised A, responding to challenges from Advocate A and the Moderator.
- Consensus Moderator: drive toward final consensus. Write the binding consensus document: the agreed model, resolved tensions, execution timeline, 3 key metrics, the single biggest risk, and a one-paragraph elevator pitch.
Compose agent prompts following
references/debate-prompts.md — Round 2 section.
Phase 3: Present results
Step 3.1: Present the consensus
Show the user:
- Key concessions from each advocate (what changed their minds)
- The consensus model — the Moderator's final recommendation
- Structure or plan details (tiers, architecture, timeline)
- Key metrics to track
- Biggest risk and mitigation
Step 3.2: Ask about persistence
Ask the user if they want to save the consensus. Determine the appropriate file based on the decision type:
- Business decisions →
biz.md - Architecture decisions →
ARCHITECTURE.mdorADR-NNN.md - Product decisions →
PRODUCT.md - Strategy → appropriate project document
- Or a new file if none fits
Orchestrator guidelines
- Always launch all 3 agents per round in a single step (parallel)
- Never edit the agents' arguments — present them faithfully
- The Moderator's Round 2 consensus is the binding output — but the user has final authority to override
- Keep your own commentary brief — the agents did the thinking; you synthesize and present
- If agents do not converge after Round 2, highlight the remaining disagreement and ask the user to break the tie rather than running more rounds
- Adapt prompt specifics to the domain — a pricing decision needs cost numbers; an architecture decision needs technical tradeoffs
- Include relevant project context in every agent prompt — agents run in isolation and cannot read each other's output
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