deep-think

Deep Think

Structured sequential reasoning engine. Breaks complex problems into visible, numbered thought steps -- with revision, branching, and maritime-framed recommendations. Every assumption surfaced. Every path explored. Every recommendation backed by the chain of reasoning that produced it.

This skill replaces the Sequential Thinking MCP server. The key improvement: reasoning is visible and challengeable, not hidden inside tool calls.

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Variables

• problem (required) -- The question, decision, or problem to think through
• depth (optional) -- quick (3-5 steps), standard (6-10 steps, default), deep (10-15+ steps)
• context (optional) -- Additional context, constraints, or files to reference

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Customization (optional, Phase 0)

This skill is customization-aware (pilot). Before reasoning, resolve any per-exec overrides: python scripts/resolve_customization.py --skill .claude/skills/deep-think. Apply any activation_steps_prepend, persistent_facts (facts to always honour, e.g. a preferred default depth or currency), and output-path overrides from the merged result. On any failure, proceed with the defaults below -- never block. Layout + authoring guide: config/skill-custom/README.md.

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When to Engage Proactively

Activate this skill WITHOUT being asked when you detect any of these conditions:

1. Multi-variable decisions -- 3+ competing factors with no obvious weighting. Example: "Should we enter [a new market] through PartnerCo or direct? There's a tender deadline, partner margin question, and a competitive threat."

2. Strategy under uncertainty -- The answer depends on unknowns or contested assumptions. Example: "How should we price the [target-market] deal given competitive pressure from a state-aligned vendor?"

3. Contradictory signals -- Information contains tension or paradox. Example: Pipeline shows strong momentum but CRM health shows RED contacts on key relationships.

4. High-stakes reasoning -- Being wrong is costly: investor positioning, partnership terms, competitive response, market entry timing. Example: "How much technical detail should we share with a potential investor who sits on a competitor's board?"