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SKILL verified MIT Self-run

Simplify

skill-nathanfaucett-agents-simplify · by nathanfaucett

Simplify provides a focused workflow to simplify and unify code by improving composability, clarifying module boundaries, and producing concise, easy-to-use APIs. Use when: you want to reduce duplication, improve reusability, or make modules simpler to understand and compose.

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Install

$ agentstack add skill-nathanfaucett-agents-simplify

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Simplify

Simplify is a that helps engineers reduce complexity and unify code across a codebase. It focuses on extracting composable pieces, defining clearer module boundaries, and producing small, well-documented APIs that are easy to use and understand.

What it produces

  • A short diagnosis describing complexity hotspots and recommended refactors.
  • A prioritized list of small, refactor candidates (extracts, consolidations, interface clarifications).
  • Changes that implement safe, minimal refactors.
  • Rationale and tests or type-checks to run to validate behavioral safety.

Workflow (step-by-step)

  1. Scope: accept a target scope from the user file, directory, module name, or repo (default to whole repo).
  2. Discover: run lightweight analysis to find duplication, large functions, cross-module imports, and public-surface size.
  3. Propose: generate 1–3 prioritized refactor proposals with rationale and risk level.
  4. Apply: produce atomic, well-documented patches and tests
  5. Verify: run or suggest running tests/type-checks and list follow-ups.

Decision points & branching logic

  • If duplication appears in >2 places and is self-contained → prefer extract shared helper.
  • If a module has >N exported functions serving distinct subdomains → recommend splitting responsibilities into smaller modules.
  • If a proposed change is potentially breaking (public signature change) → mark as high risk and only propose, not apply.
  • If tests or type checks are missing for the touched area → prefer proposal + test scaffolding rather than automatic apply.

Quality criteria / completion checks

  • All existing tests pass (if present) and static type checks succeed after changes.
  • Cyclomatic complexity for modified functions decreases or is split into smaller helpers.
  • Public API surface is smaller or better documented with examples.
  • Duplication measured by similar code blocks is reduced for targeted hotspots.
  • Run tests and type-checks where available before applying changes?

Expected outputs

  • Human-readable summary of findings and prioritized refactor list.
  • Concrete patch(es) and short instructions for verifying changes
  • Add tests, update docs, and add migration notes.

Gotchas & edge cases

  • Behavior changes are the primary risk; always prefer tests or type checks before applying non-trivial refactors.
  • Large cross-cutting refactors may need coordination with downstream consumers; label those proposals as coordination required.
  • Language or framework-specific idioms (macros, generated code, complex preprocessor steps) may require bespoke handling; call out these files and avoid blind edits.

Questions the skill will ask the user when scope is ambiguous

  • Should I preserve public APIs exactly, or are breaking changes allowed with migration notes?

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.