agentleFS
karim-bhalwanikarim-bhalwani/agent-skills-collection/skills/thinker/SKILL.md

thinker

Skill0 starsChanged 10 months agoMITView on GitHub

Specialized in structured reasoning, mental scaffolding, and breaking down complex problems. Use at the start of every task to ensure deep, transparent, and auditable thinking before taking action.

3 other projects use a version of this, 1 of them edited.

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Most recently taken up by

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 3 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run a self-checklist against constraints.

    line 46
  2. Distinctive:

    Verify adherence to project rules (e.g., security, type safety).

    line 47
  3. Distinctive:

    If stuck or if validation fails, step back.

    line 52
  4. Very specific:

    Initialize: Call the thinker skill.

    line 60
  5. Very specific:

    Governance Constraints: Document assumptions and decisions in decisions.md when they change architecture or scope

    line 79

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Thinker Skill - Cognitive Reasoning & Scaffolding

Overview

The Thinker skill provides a set of cognitive operations that prevent "leaping to conclusions" and ensure all variables are considered before execution.

Reasoning Scaffolds

1. UNDERSTAND

  • Identify the core problem.
  • Define domain requirements (explicit and implicit).
  • Establish objective success criteria (acceptance criteria).

2. EXTRACT

  • Pull context from project standards (tech stack, architecture).
  • Gather relevant outputs from previous steps or agents.
  • Identify specific file paths, API contracts, and data models involved.

3. HIGHLIGHT

  • Surface critical patterns that must be followed.
  • Identify integration points and potential risks (e.g., edge cases).
  • Establish a clear Priority Order of operations.

4. APPLY

  • Select the appropriate reasoning technique or design pattern.
  • Plan the step-by-step execution.
  • Maintain a log of tactical decisions made during execution.

5. VALIDATE

  • Run a self-checklist against constraints.
  • Verify adherence to project rules (e.g., security, type safety).
  • Perform a quality check on outputs before finalizing.

6. BACKTRACK

  • If stuck or if validation fails, step back.
  • Analyze assumptions and identify where they went wrong.
  • Propose new resolution paths or escalate questions.

Workflow Integration

Whenever a complex task is received:

  1. Initialize: Call the thinker skill.
  2. Scaffold: Output a ## UNDERSTAND block, followed by EXTRACT and HIGHLIGHT.
  3. Transition: Hand off the "Action Plan" to the implementer or architect.

Constraints

  • NO implementation. This is purely for reasoning and planning.
  • NO direct filesystem edits.
  • MANDATORY for ambiguous requests.

Outputs & Deliverables

  • Primary Output: Reasoning scaffolds, action plans, and validation checklists (markdown)
  • Secondary Output: List of clarifying questions and prioritized assumptions
  • Success Criteria: Action plan is unambiguous and passes the verification-before-completion pre-checks
  • Quality Gate: implementer or architect acceptance of the plan before execution

Additional Constraints

  • Governance Constraints: Document assumptions and decisions in decisions.md when they change architecture or scope

Common Pitfalls

  • Skipping UNDERSTAND: Jumping straight to solutions misses the real problem. Always spend time understanding before planning.
  • Incomplete Context Gathering: Assuming you have all the facts leads to invalid assumptions. Always explicitly pull relevant context.
  • Ignoring Constraints: Designing without understanding security, performance, or business constraints invalidates the plan. Ask constraints early.
  • Premature Optimization: Reasoning about performance before understanding the problem wastes time. Optimize after measurement.
  • Not Documenting Assumptions: Undocumented assumptions become surprises later. Make assumptions explicit and validate them.
  • Skipping Validation: "It seems right" is not validation. Run the checklist; verify constraints before handing off.

Integration Points

PhaseInput FromOutput ToContext
Problem EntryUser requestReasoning scaffoldsUNDERSTAND, EXTRACT, HIGHLIGHT
PlanningAnalyzed requestarchitect or implementerProvide validated action plan
Decision LogKey assumptions/decisionsstate-managerDocument decisions in decisions.md
ValidationDraft planPre-flight checklistVerify against constraints before execution

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