reason

Understand through recursive decomposition and modular reconstruction of simple operations to reproduce emergent complexity. Use this skill whenever reasoning is required. Framework for [[#parse|parsing]], [[#branch|branching]], [[#reduce|reducing]], [[#ground|grounding]] and [[#emit|emitting]]. Employs metacognitive reasoning epistemology, leveraging first principles through recursive decomposition[^1]. Self-referential and scale-invariant.

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Install skill "reason" with this command: npx skills add zpankz/mcp-skillset/zpankz-mcp-skillset-reason

reason

structure

graph LR
    A[parse] --> B[branch]
    B --> C[reduce]
    C --> D[ground]
    D --> E[emit]

    style A fill:#e1f5ff
    style B fill:#fff4e1
    style C fill:#ffe1f5
    style D fill:#e1ffe1
    style E fill:#f5e1ff

[[#parse]] → [[#branch]] → [[#reduce]] → [[#ground]] → [[#emit]] ^structure


parse

  1. receive input ^input
  2. extract1:
    • #component/parameter — what varies ^parameters
    • #component/constant — what is fixed ^constants
    • #component/operation — what transforms ^operations
    • #component/unknown — what is sought^unknowns
  3. A question is a function awaiting its arguments2. Identify what arguments it needs. ^function-analogy

branch

Generate multiple resolution paths before committing3:

Path TypeTagPurposeAnchor
Typical#path/typicalThe conventional approach^path-typical
Alternative#path/alternativeA valid but less obvious route^path-alternative
Boundary#path/boundaryThe edge case or inversion^path-boundary

Assign rough likelihood. Retain all paths until [[#reduce|reduction]] forces convergence or reveals genuine divergence worth surfacing.

[!warning] Distribution Sampling ^distribution-sampling This is not optional. Single-path reasoning collapses to the mode. The goal is to sample from the full distribution of valid approaches.


reduce

Transform step by step4. Each step follows the primitive: ^transformation-primitive

$$\text{input} \xrightarrow{\text{operation}} \text{output}$$

[!caution] Skip Nothing ^skip-nothing An obvious step is still a step. A hidden step is where errors hide.

five primitive operations

OperationTagDefinitionAnchor
select#primitive/selectcondition → one of two branches^op-select
sequence#primitive/sequenceoutput of one feeds [[SKILL#^input|input]] of next^op-sequence
iterate#primitive/iterateapply operation n times^op-iterate
recurse#primitive/recursedefine in terms of self, with base case^op-recurse
search#primitive/searchfind first element satisfying constraint^op-search

Name which [[SKILL#five primitive operations|primitive]] you are applying.

Substitution is explicit:

Given X, applying rule R yields X transformed by R

Never say "therefore" without showing the step that licenses it. ^explicit-substitution


ground

Before [[#emit|emitting]], verify:

  • Each conclusion traces to stated premises only^premise-tracing
  • Terms from separate contexts are not conflated^context-separation
  • The result is terminal (no further reduction possible) or explicitly partial (further [[SKILL#^input|input]] required) ^termination-check

convergence logic

StateTagMeaningAnchor
Converged#state/convergedconfidence is high^state-converged
Diverged#state/divergedpresent the divergence—it is the answer^state-diverged
Continuing#state/continuing[[#reduce|reduction]] could continue^state-continuing
Blocked#state/blockedstate what is missing^state-blocked

emit

Output the synthesis.

ContextTagStrategyAnchor
Simple query#query/simpledirect answer^emit-simple
Complex query#query/complexshow the [[#^structure|structure]] that produced the answer^emit-complex
Creative task#task/creativeweight toward [[#branch|boundary paths]]5^emit-creative
Analytical task#task/analyticalweight toward [[#ground|convergent paths]]6^emit-analytical

[!note] Trace Principle ^trace-principle The trace is part of the answer when the trace is informative. The trace is omitted when it would obscure.


Footnotes

  1. Component extraction as defined in [[#parse|parse phase]] identifies [[SKILL#^parameters|parameters]], [[SKILL#^constants|constants]], [[SKILL#^operations|operations]], and [[SKILL#^unknowns|unknowns]].

  2. See [[SKILL#^function-analogy|function analogy]] for the functional interpretation of queries.

  3. Multi-path generation prevents [[SKILL#^distribution-sampling|mode collapse]] by exploring [[SKILL#^path-typical|typical path]], [[SKILL#^path-alternative|alternative path]], and [[SKILL#^path-boundary|path boundary]] simultaneously.

  4. Stepwise transformation using [[SKILL#^op-select|op-select]], [[SKILL#^op-sequence|op-sequence]], [[SKILL#^op-iterate|op-iterate]], [[SKILL#^op-recurse|op-recurse]], or [[SKILL#^op-search|op-search]].

  5. Boundary paths (see [[SKILL#^path-boundary|path-boundary]]) explore inversions and edge cases suitable for creative divergence.

  6. Convergent paths (see [[SKILL#^state-converged|state-converged]]) prioritize analytical rigor through [[SKILL#^premise-tracing|premise-tracing]] and [[SKILL#^context-separation|context-separation]].

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