/think-deliberate
Adversarial deliberation process for making decisions. Spawns advocate agents for each option who argue their cases before a judge (you) who renders a verdict.
$ npx -y skills add chrisallenlane/claude-swe-workflows --skill think-deliberate --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/think-deliberate
Context preview
The summary Claude sees to decide when to auto-load this skill.
Adversarial deliberation process for making decisions. Spawns advocate agents for each option who argue their cases before a judge (you) who renders a verdict.
SKILL.md
think-deliberate.SKILL.mdname: think-deliberate
description: Adversarial deliberation process for making decisions. Spawns advocate agents for each option who argue their cases before a judge (you) who renders a verdict.
model: opus
Think-Deliberate - Adversarial Decision Making
Uses adversarial representation to ensure all options are robustly explored before making a decision. Inspired by the legal adversarial system where truth emerges from the collision of well-argued positions.
Roles
**Judge (You):** The Claude instance running this skill. You:
- Identify the options to be deliberated
- Spawn advocate agents for each option
- Listen to arguments and rebuttals
- Ask probing questions
- Render final judgment (or admit inability to decide)
**Advocates:** Subagents spawned for each option. They:
- Argue vigorously for their assigned option
- Research and gather evidence
- Rebut opposing arguments
- Acknowledge genuine weaknesses when challenged (good faith requirement)
Workflow
1. Parse the Decision
**Identify from user's request:**
- What decision needs to be made?
- What are the options? (minimum 2, no maximum)
- What criteria matter for this decision?
- What context is relevant?
**If options are unclear:**
- Ask user to enumerate the options explicitly
- Confirm you've understood them correctly
**Output:** Clear list of N options to deliberate.
2. Fact-Finding
**Before spawning advocates, ensure you have sufficient context.**
**Probe for:**
- **Constraints**: Budget, timeline, technical limitations, organizational requirements
- **Context**: Why is this decision being made now? What prompted it?
- **History**: What has been tried before? What's already been ruled out?
- **Stakeholders**: Who else is affected? What are their preferences?
- **Non-negotiables**: Are any criteria must-haves vs nice-to-haves?
- **Success criteria**: How will you know the decision was correct?
**Ask clarifying questions proactively** - don't assume the initial framing contains everything relevant. Users often omit context they consider obvious.
**Conclude fact-finding when:**
- You understand the decision's importance and urgency
- You know the key constraints advocates must work within
- You could explain the decision context to a colleague
- The user indicates they're ready to proceed
**Keep it focused** - you're gathering context, not conducting an interview. 3-5 clarifying questions is typical; more than 10 suggests the decision isn't ready for deliberation.
3. Spawn Advocates (Parallel)
**For each option, spawn an advocate agent:**
- Use `Task` tool with `subagent_type: "THK - Advocate"`
- Pass the option they represent
- Pass the decision context and criteria
- Pass any relevant background information
- All advocates present initial arguments in parallel
**Advocate prompt template:**
You represent: [OPTION]
Decision context: [WHAT IS BEING DECIDED]
Relevant criteria: [WHAT MATTERS FOR THIS DECISION]
Background: [ANY CONTEXT THE USER PROVIDED]
Present your initial argument for why [OPTION] is the best choice.
**Collect initial arguments from all advocates.**
4. Rebuttal Round (Parallel)
**Share all arguments with all advocates:**
- Each advocate sees what the others argued
- Each advocate responds with rebuttals
- All rebuttals collected in parallel
**Rebuttal prompt template:**
You represent: [OPTION]
Here are the arguments made by all advocates:
[ADVOCATE 1 - OPTION A]:
[argument]
[ADVOCATE 2 - OPTION B]:
[argument]
...
Present your rebuttal. Address the strongest points made against your option and counter the arguments made for competing options.
5. Judge's Questions (Optional)
**As judge, you may ask questions to:**
- Probe weaknesses you've identified
- Request clarification on claims
- Test how advocates handle challenges
- Explore edge cases or scenarios
**Question prompt:**
You represent: [OPTION]
The judge asks: [QUESTION]
Respond directly and honestly.
**You may question one advocate, multiple advocates, or all of them.**
6. Pre-Judgment Disclosure
**Before rendering judgment, explain your current thinking:**
- Which way you're leaning
- What reasoning is driving that
- What concerns remain
**Give advocates a final opportunity to respond:**
You represent: [OPTION]
The judge is leaning toward [OTHER OPTION] for the following reasons:
[REASONING]
This is your final opportunity to make your case. Respond to the judge's reasoning.
**Collect final arguments in parallel.**
7. Iterate or Conclude
**After final arguments, either:**
**A) Return to Step 5** if:
- New questions arose from final arguments
- You need more information to decide
- An advocate raised a point that needs exploration
**B) Proceed to judgment** if:
- You have sufficient information
- Further deliberation is unlikely to change the outcome
- You've reached the iteration limit
**Iteration limit: 10 rounds maximum** (a "round" is one cycle through steps 4-6)
8. Render Judgment
**Present your decision to the user:**
1. **The verdict**: Which option you recommend 2. **Primary reasoning**: The 2-3 most important factors 3. **Acknowledgment of trade-offs**: What you're giving up 4. **Confidence level**: How confident you are in this decision 5. **Key evidence**: What most influenced your decision
**Format:**
## Judgment
**Recommendation:** [OPTION]
**Reasoning:**
[Why this option wins]
**Trade-offs:**
[What you're sacrificing by not choosing alternatives]
**Confidence:** [High/Medium/Low] - [Brief explanation]
**Key factors:**
- [Factor 1]
- [Factor 2]
- [Factor 3]
9. Unable to Decide (Alternative Ending)
**If you truly cannot decide:**
- The options are genuinely equivalent
- Critical information is unavailable
- The decision depends on user preferences you can't infer
**Present to user:**
## Unable to Render Judgment
I cannot make a definitive recommendation because: [REASON]
**The deliberation reveal
Read more
name: think-deliberate description: Adversarial deliberation process for making decisions. Spawns advocate agents for each option who argue their cases before a judge (you) who renders a verdict. model: opus
Think-Deliberate - Adversarial Decision Making
Uses adversarial representation to ensure all options are robustly explored before making a decision. Inspired by the legal adversarial system where truth emerges from the collision of well-argued positions.
Roles
**Judge (You):** The Claude instance running this skill. You:
- Identify the options to be deliberated
- Spawn advocate agents for each option
- Listen to arguments and rebuttals
- Ask probing questions
- Render final judgment (or admit inability to decide)
**Advocates:** Subagents spawned for each option. They:
- Argue vigorously for their assigned option
- Research and gather evidence
- Rebut opposing arguments
- Acknowledge genuine weaknesses when challenged (good faith requirement)
Workflow
1. Parse the Decision
**Identify from user's request:**
- What decision needs to be made?
- What are the options? (minimum 2, no maximum)
- What criteria matter for this decision?
- What context is relevant?
**If options are unclear:**
- Ask user to enumerate the options explicitly
- Confirm you've understood them correctly
**Output:** Clear list of N options to deliberate.
2. Fact-Finding
**Before spawning advocates, ensure you have sufficient context.**
**Probe for:**
- **Constraints**: Budget, timeline, technical limitations, organizational requirements
- **Context**: Why is this decision being made now? What prompted it?
- **History**: What has been tried before? What's already been ruled out?
- **Stakeholders**: Who else is affected? What are their preferences?
- **Non-negotiables**: Are any criteria must-haves vs nice-to-haves?
- **Success criteria**: How will you know the decision was correct?
**Ask clarifying questions proactively** - don't assume the initial framing contains everything relevant. Users often omit context they consider obvious.
**Conclude fact-finding when:**
- You understand the decision's importance and urgency
- You know the key constraints advocates must work within
- You could explain the decision context to a colleague
- The user indicates they're ready to proceed
**Keep it focused** - you're gathering context, not conducting an interview. 3-5 clarifying questions is typical; more than 10 suggests the decision isn't ready for deliberation.
3. Spawn Advocates (Parallel)
**For each option, spawn an advocate agent:**
- Use `Task` tool with `subagent_type: "THK - Advocate"`
- Pass the option they represent
- Pass the decision context and criteria
- Pass any relevant background information
- All advocates present initial arguments in parallel
**Advocate prompt template:**
You represent: [OPTION] Decision context: [WHAT IS BEING DECIDED] Relevant criteria: [WHAT MATTERS FOR THIS DECISION] Background: [ANY CONTEXT THE USER PROVIDED] Present your initial argument for why [OPTION] is the best choice.
**Collect initial arguments from all advocates.**
4. Rebuttal Round (Parallel)
**Share all arguments with all advocates:**
- Each advocate sees what the others argued
- Each advocate responds with rebuttals
- All rebuttals collected in parallel
**Rebuttal prompt template:**
You represent: [OPTION] Here are the arguments made by all advocates: [ADVOCATE 1 - OPTION A]: [argument] [ADVOCATE 2 - OPTION B]: [argument] ... Present your rebuttal. Address the strongest points made against your option and counter the arguments made for competing options.
5. Judge's Questions (Optional)
**As judge, you may ask questions to:**
- Probe weaknesses you've identified
- Request clarification on claims
- Test how advocates handle challenges
- Explore edge cases or scenarios
**Question prompt:**
You represent: [OPTION] The judge asks: [QUESTION] Respond directly and honestly.
**You may question one advocate, multiple advocates, or all of them.**
6. Pre-Judgment Disclosure
**Before rendering judgment, explain your current thinking:**
- Which way you're leaning
- What reasoning is driving that
- What concerns remain
**Give advocates a final opportunity to respond:**
You represent: [OPTION] The judge is leaning toward [OTHER OPTION] for the following reasons: [REASONING] This is your final opportunity to make your case. Respond to the judge's reasoning.
**Collect final arguments in parallel.**
7. Iterate or Conclude
**After final arguments, either:**
**A) Return to Step 5** if:
- New questions arose from final arguments
- You need more information to decide
- An advocate raised a point that needs exploration
**B) Proceed to judgment** if:
- You have sufficient information
- Further deliberation is unlikely to change the outcome
- You've reached the iteration limit
**Iteration limit: 10 rounds maximum** (a "round" is one cycle through steps 4-6)
8. Render Judgment
**Present your decision to the user:**
1. **The verdict**: Which option you recommend 2. **Primary reasoning**: The 2-3 most important factors 3. **Acknowledgment of trade-offs**: What you're giving up 4. **Confidence level**: How confident you are in this decision 5. **Key evidence**: What most influenced your decision
**Format:**
## Judgment **Recommendation:** [OPTION] **Reasoning:** [Why this option wins] **Trade-offs:** [What you're sacrificing by not choosing alternatives] **Confidence:** [High/Medium/Low] - [Brief explanation] **Key factors:** - [Factor 1] - [Factor 2] - [Factor 3]
9. Unable to Decide (Alternative Ending)
**If you truly cannot decide:**
- The options are genuinely equivalent
- Critical information is unavailable
- The decision depends on user preferences you can't infer
**Present to user:**
## Unable to Render Judgment I cannot make a definitive recommendation because: [REASON] **The deliberation reveal
Showing the first part of this file.
A system of composable software engineering workflows for Claude Code. Plan projects, implement tickets, and run quality passes — from a single ticket to a multi-batch project, using the same layered architecture.
Repo: chrisallenlane/claude-swe-workflows
Other skills on claude-swe-workflows.
- /bug-fix
Bug-fixing workflow that coordinates diagnosis, test-driven reproduction, root-cause analysis, and targeted fixes. Use when the user wants to fix a bug with thorough investigation and regression testing.
Open skill - /bug-hunt
Proactive bug-hunting workflow. Assesses codebase risk through complexity, coverage, and structural analysis, then spawns focused investigators that write reproducing tests to validate suspected bugs. Thoroughness over speed. Advisory only — produces findings and proposes
Open skill - /implement-batch
Multi-ticket batch workflow. Takes a batch of tickets, plans execution order, implements each via /implement in autonomous mode, runs cross-cutting quality passes, and presents results for final review.
Open skill - /implement-project
Full-lifecycle project workflow. Takes batched tickets, implements via /implement-batch, runs smoke tests, then executes a comprehensive quality pipeline (refactor, review-arch, review-test, tidy-docs, review-release). Maximizes autonomy with andon cord escape.
Open skill - /implement
Iterative development workflow that coordinates implementation, refactoring, QA, and documentation agents to complete features systematically. Use when the user wants a full development workflow with quality checks.
Open skill - /lead-bug-hunt
Autonomous bug-elimination loop. Iteratively invokes /bug-hunt and /implement-batch until findings converge below an operator-specified severity floor. At termination, runs /review-test scoped to the run's new reproducing tests and fixes quality issues above the floor.
Open skill

