Agent Skills: reason

"Understand through recursive decomposition and modular reconstruction

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reason/SKILL.md

Skill Metadata

Name
reason
Description
"Understand through recursive decomposition and modular reconstruction

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. extract[^2]:
    • #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 arguments[^3]. Identify what arguments it needs. ^function-analogy

branch

Generate multiple resolution paths before committing[^4]:

| Path Type | Tag | Purpose | Anchor | |-----------|-----|---------|--------| | Typical | #path/typical | The conventional approach | ^path-typical | | Alternative | #path/alternative | A valid but less obvious route | ^path-alternative | | Boundary | #path/boundary | The 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 step[^5]. 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

| Operation | Tag | Definition | Anchor | |-----------|-----|------------|--------| | select | #primitive/select | condition → one of two branches | ^op-select | | sequence | #primitive/sequence | output of one feeds [[SKILL#^input|input]] of next | ^op-sequence | | iterate | #primitive/iterate | apply operation n times | ^op-iterate | | recurse | #primitive/recurse | define in terms of self, with base case | ^op-recurse | | search | #primitive/search | find 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

| State | Tag | Meaning | Anchor | |-------|-----|---------|--------| | Converged | #state/converged | confidence is high | ^state-converged | | Diverged | #state/diverged | present the divergence—it is the answer | ^state-diverged | | Continuing | #state/continuing | [[#reduce|reduction]] could continue | ^state-continuing | | Blocked | #state/blocked | state what is missing | ^state-blocked |


emit

Output the synthesis.

| Context | Tag | Strategy | Anchor | |---------|-----|----------|--------| | Simple query | #query/simple | direct answer | ^emit-simple | | Complex query | #query/complex | show the [[#^structure|structure]] that produced the answer | ^emit-complex | | Creative task | #task/creative | weight toward [[#branch|boundary paths]][^6] | ^emit-creative | | Analytical task | #task/analytical | weight toward [[#ground|convergent paths]][^7] | ^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.


[^1]: Recursive decomposition breaks complex problems into self-similar subproblems until base cases are reached. [^2]: Component extraction as defined in [[#parse|parse phase]] identifies [[SKILL#^parameters|parameters]], [[SKILL#^constants|constants]], [[SKILL#^operations|operations]], and [[SKILL#^unknowns|unknowns]]. [^3]: See [[SKILL#^function-analogy|function analogy]] for the functional interpretation of queries. [^4]: 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. [^5]: 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]]. [^6]: Boundary paths (see [[SKILL#^path-boundary|path-boundary]]) explore inversions and edge cases suitable for creative divergence. [^7]: Convergent paths (see [[SKILL#^state-converged|state-converged]]) prioritize analytical rigor through [[SKILL#^premise-tracing|premise-tracing]] and [[SKILL#^context-separation|context-separation]].

reason Skill | Agent Skills