sequential-think
SolidMulti-step reasoning engine for complex analysis and systematic problem solving. Use when: (1) Complex debugging scenarios with multiple layers, (2) Architectural analysis and system design, (3) Problems requiring hypothesis testing and validation, (4) Multi-component failure investigation, (5) Performance bottleneck identification. Triggers: "--think", "--think-hard", "--ultrathink", "analyze step by step", "break down this problem", "systematic analysis". IMPORTANT: Do NOT use for simple single-step tasks.
Install
Quality Score: 85/100
Skill Content
Details
- Author
- Dianel555
- Repository
- Dianel555/DSkills
- Created
- 6 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
deep-think
Structured sequential thinking engine for complex reasoning, multi-variable decisions, and strategy under uncertainty. Breaks problems into numbered thought steps with revision and branching support. Replaces the Sequential Thinking MCP server with visible, challengeable reasoning tailored to CEO decision-making. Engage this skill PROACTIVELY -- without waiting for the user to ask -- whenever a problem involves multi-variable decisions, contradictory signals, high-stakes reasoning, strategy under uncertainty, or when you catch yourself making unexamined assumptions. Use when the user says "think through this", "break this down", "reason through", "what are we missing", "think step by step", "structured thinking", "analyze this carefully", "help me think about", "deep think", or any request requiring deliberate multi-step reasoning before action. This is the thinking engine that precedes and sharpens every other skill.
oracle-thinkdeep
Extended reasoning analysis using sequential thinking. Use for deep exploration, comprehensive analysis, complex decisions, or when you need fresh perspectives on difficult problems.
using-the-think-step
Decide where an agent should reason during a task and how to prompt for it. Covers three places a model can think and how to choose between them: extended thinking before the turn, interleaved thinking between tool calls, and the no-op "think" tool that logs reasoning mid-chain at a point you pick. Also covers when a mid-task step helps, when it only adds latency, the contract interleaved thinking imposes on the request, and why the think tool's gains come from system-prompt guidance rather than the tool itself. Use this whenever someone builds an agent that follows policies or makes long sequential decisions, asks about a think or scratchpad tool or interleaved thinking, finds an agent skipping rules or mishandling tool output mid-task, or wants more deliberate tool use. Trigger on "think tool," "interleaved thinking," "reasoning between tool calls," "let the agent reason before acting," "agent ignores the policy," and similar. Not for general prompt engineering or one-shot chain-of-thought.