deep-think
Skill3 starsChanged 8 months agoMITView on GitHub
Extended reasoning and deliberation for complex, ambiguous, or high-stakes problems. Use when standard analysis is insufficient — multi-dimensional trade-offs, philosophical questions, architectural decisions with long-term consequences, or problems where the first obvious answer is likely wrong. Forces slower, more thorough thinking with explicit reasoning chains.
14 other projects use a version of this.
Adopted by
Most recently taken up by
- iice257/Skills-quickstartertheir own version, first seen Nov 8, 2026
- naman10parikh/pennytheir own version, first seen Nov 8, 2026
- anotherben/claude-harnesstheir own version, first seen Nov 8, 2026
- naman10parikh/wikimemtheir own version, first seen Nov 8, 2026
- naman10parikh/turbotheir own version, first seen Oct 25, 2026
- naman10parikh/pixeltheir own version, first seen Oct 25, 2026
Used with
Projects with it also use ecosystem-reference, fractal-delegation and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
naman10parikhSkillecosystem-reference
Quick-access directory of Claude Code ecosystem repos, skills, plugins, MCPs, and patterns. Use when improving the harness.
Also in 5 projects that use this
naman10parikhSkillfractal-delegation
Also in 5 projects that use this
KirchliveSkillskill-routing
Decides which of the installed skills a task needs and loads them before the work starts. This skill should be used at the beginning of any multi-step task — build, fix, refactor, migrate, review, plan, release, research, write, design, video — and again at every phase change, after context compaction, and when work moves into a different part of the codebase. Use it for requests like "let's build X", "fix this bug", "refactor Y", "plan the migration", "review this", and also when the user asks which skill applies, why a skill did not fire, or asks to check what is available.
Also in 5 projects that use this
sublimotionSkillagent-runtime
Launch and manage detached agent runs on EKS via the agent-runner CLI. Use when the user says "launch an agent run", "agent runtime", "agent-runner", "run this spec on the cluster", "check run status", "agent run logs", or "stop a run". Do NOT use for writing the agent-runner code itself (edit the sibling ../agent-runner repo), Terraform of the foundation (use terraform-automation), or GPU serving deployments (use infra-deployer).
Also in 5 projects that use this
GoZippySkillrepo-scout
Also in 5 projects that use this
BenjaminGSkillharness-review
Turn one PR's review comments into harness fixes — classify each cause by the most solid place it can live (codebase, lint, rules, skill), then draft the fixes in a separate PR.
Also in 5 projects that use this
- +6 more from naman10parikh
Other versions14 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 14
- lenar-amirov/product-pipeline-public★ 13same name
- naman10parikh/agentgrid★ 9same name
- wangyendt/wayne-skills★ 9same name
- naman10parikh/wikimem★ 8same name
- anotherben/claude-harness★ 7same name
- Kshitijpalsinghtomar/depth-skills★ 5same name
- drewdrewthis/claude-skills★ 2same name
- gihwan-dev/claude-code-gui★ 1same name
- iice257/Skills-quickstarter★ 1same name
- mehdi-dbx/claude-skills★ 0same name
4 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 repository7 other files it gives its agents.
- deep-researchSkill
- jargon-detectorSkill
- nb-querySkill
- paragraph-progression-analyzerSkill
- research-analystSkill
- sci-hub-downloadSkill
- semantic-scholarSkill
The file
We split this skill into the rules it gives an agent
7 rules. 0 are common, 7 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 13 edited versions we read keep these.
7
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 159
Use these when stuck:
- Distinctive: line 182
Do NOT rush to a conclusion — the point is thorough deliberation
- Distinctive: line 183
Do NOT ignore uncomfortable evidence
- Distinctive: line 184
Do NOT confuse complexity with depth
- Distinctive: line 185
Do NOT present analysis without stating confidence levels
- Distinctive: line 186
Do NOT skip the assumption-surfacing step
- Distinctive: line 187
Do NOT use this for simple questions that have clear answers
“Common” is measured: kept by at least 6 in 10 of the 13 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
Deep Think
Extended deliberation skill for problems that resist quick answers. Forces multi-step reasoning, considers second-order effects, and produces well-justified conclusions.
Trigger Words
/deep-think- "think deeply about"
- "reason through this"
- "what are the second-order effects"
- "this is a hard problem"
- "deliberate on"
- "think step by step"
When to Use
- Architectural decisions with 6+ month consequences
- Trade-offs where multiple options seem equally valid
- Problems where the obvious answer might be wrong
- Multi-stakeholder decisions with conflicting interests
- Ethical or philosophical dimensions
- Debugging subtle, hard-to-reproduce issues
- Strategy formulation under uncertainty
Core Process
Deep Think Progress:
- [ ] Step 1: Problem decomposition
- [ ] Step 2: Assumption surfacing
- [ ] Step 3: Multi-perspective analysis
- [ ] Step 4: Second-order effects mapping
- [ ] Step 5: Synthesis and conclusion
- [ ] Step 6: Confidence calibrationStep 1: Problem Decomposition
Break the problem into its constituent parts:
## Problem Statement
[Restate the problem in your own words]
## Sub-Problems
1. [Component A] — [why it matters]
2. [Component B] — [why it matters]
3. [Component C] — [why it matters]
## Dependencies
- [A] depends on [B] because...
- [C] is independent of [A/B]Step 2: Assumption Surfacing
Explicitly list every assumption:
## Assumptions (must be stated explicitly)
| # | Assumption | Type | If Wrong, Impact |
|---|-----------|------|------------------|
| 1 | [assumption] | [factual/value/scope] | [consequence] |
| 2 | [assumption] | [factual/value/scope] | [consequence] |Challenge each assumption:
- Is this actually true, or do we just believe it?
- What evidence supports/contradicts this?
- What if the opposite were true?
Step 3: Multi-Perspective Analysis
Analyze from at least 3 different viewpoints:
## Perspectives
### Perspective 1: [Role/Viewpoint]
- Sees the problem as: [framing]
- Prioritizes: [values]
- Would decide: [choice]
- Reasoning: [chain]
### Perspective 2: [Role/Viewpoint]
[same structure]
### Perspective 3: Devil's Advocate
- The strongest argument against the emerging consensus is: [argument]
- Evidence supporting this counter-view: [evidence]
- This matters because: [reason]Step 4: Second-Order Effects
## Effects Cascade
### First-Order (Direct)
- If we choose X: [immediate consequence]
### Second-Order (Indirect)
- That consequence leads to: [downstream effect]
- Which in turn causes: [further downstream]
### Third-Order (Systemic)
- Over time, the system adapts by: [emergent behavior]
### Reversibility Assessment
- Can we undo this decision? [yes/partially/no]
- Cost of reversal: [low/medium/high/impossible]
- Time window for reversal: [timeframe]Step 5: Synthesis
## Synthesis
### What the evidence tells us
[Integrate findings from all perspectives]
### What remains uncertain
[Honest assessment of unknowns]
### Recommended path
[Clear recommendation with reasoning chain]
### Key insight
[The single most important thing learned through this analysis]Step 6: Confidence Calibration
## Confidence Assessment
| Aspect | Confidence | Basis |
|--------|-----------|-------|
| Problem understanding | [0-100%] | [why] |
| Solution correctness | [0-100%] | [why] |
| Implementation feasibility | [0-100%] | [why] |
| Overall recommendation | [0-100%] | [why] |
### What would change my mind
- If [condition], I would reconsider [aspect]
- New information about [topic] could shift the analysisThinking Techniques
Use these when stuck:
| Technique | When to Use | How |
| Inversion | "What would make this fail?" | Think about the opposite |
| First Principles | Assumptions feel shaky | Strip to fundamental truths |
| Pre-mortem | Before committing | "It's 6 months later and this failed — why?" |
| Steel Man | Considering alternatives | Make the strongest case for the opposing view |
| Regret Minimization | Long-term decisions | "Which choice minimizes regret in 10 years?" |
| Fermi Estimation | Quantifying unknowns | Order-of-magnitude estimates with reasoning |
Output Format
Always produce:
- Problem restatement (in your own words)
- Key assumptions (explicit, numbered)
- Analysis (multi-perspective, with reasoning chains)
- Second-order effects (at least 2 levels deep)
- Conclusion (with confidence level and what would change your mind)
Anti-Patterns
- Do NOT rush to a conclusion — the point is thorough deliberation
- Do NOT ignore uncomfortable evidence
- Do NOT confuse complexity with depth
- Do NOT present analysis without stating confidence levels
- Do NOT skip the assumption-surfacing step
- Do NOT use this for simple questions that have clear answers
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