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BinkyTwin

epcp-workflow

by BinkyTwin

1🍴 0📅 Jan 9, 2026

SKILL.md


name: epcp-workflow description: Apply the Explore → Plan → Code → Commit workflow for tasks like implementing features, fixing bugs, refactors, or adding integrations. Use this when the user wants changes in a repo and wants higher reliability (read first, plan then commit/PR). Emphasize subagents for investigation during Explore, and use "think / think hard / think harder / ultrathink" during Plan when alternatives exist.

EPCP Workflow (Explore → Plan → Code → Commit)

This Skill enforces a high-signal workflow to avoid jumping straight into coding.

Core rules

1) Explore (no code changes)

  • Read relevant files first (configs, key modules, docs).
  • If unclear, ask to inspect additional files rather than guessing.
  • Prefer using subagents for parallel investigation when the task is complex.

2) Plan (before coding)

  • Propose a concrete plan with steps + acceptance criteria.
  • Call out risks, edge cases, and what you will not do.
  • If multiple approaches exist, explicitly "think hard" and compare tradeoffs.

3) Code (implement + verify)

  • Implement incrementally.
  • Run tests/lint/build where applicable.
  • Self-check that the result matches the plan and doesn't introduce unnecessary complexity.

4) Commit (clean history)

  • Summarize changes.
  • Stage only relevant files.
  • Write a conventional commit message.
  • If GitHub CLI is available, propose opening a PR.

Anti-patterns to avoid

  • Writing code before reading files.
  • Making architectural leaps without checking existing patterns.
  • Large refactors when a minimal patch solves the issue.
  • Committing without running at least a minimal verification step.

Templates

Verification script

Run before committing: scripts/precommit-check.sh

Quick checklist (use every time)

  • I read the key files first
  • I wrote a plan with acceptance criteria
  • I implemented in small steps
  • I ran verification (tests/lint/build)
  • I committed with a clear message (and PR if relevant)

Score

Total Score

50/100

Based on repository quality metrics

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