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optflow

optflow

github.com/majiayu000Development28848 installsUpdated today
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About optflow

optflow is a skill for finding and implementing repository optimizations, aimed at developers who need work carried from assessment through validation and commits. It prioritizes findings by impact, effort, and risk, then structures delivery into tested steps.

Key features

  1. 01Scan and classify optimization opportunities
  2. 02Prioritize by impact, effort, and risk
  3. 03Create a complete implementation plan
  4. 04Implement and check changes step by step
  5. 05Support BDD scenarios and commit policies

Use cases

  1. 01Build a repository optimization roadmap
  2. 02Implement performance or reliability improvements
  3. 03Add BDD scenarios for unclear requirements
  4. 04Test and commit optimization changes incrementally

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/majiayu000/spellbook --skill optflow

After installing, type/optflowin Claude Code to confirm it loaded.

Bundled filesreferences/bdd-guide.mdreferences/delivery-base.md

Details

From the project README

Optflow

Overview

Use this skill to discover repository optimization opportunities and execute selected optimizations end to end:

  • Discover optimization points first (performance, reliability, maintainability, security, cost, DX).
  • Prioritize by impact/effort/risk.
  • Execute in strict sequence with validation and explicit commit policy.
  • Add BDD behavior specs when requested or when requirements are ambiguous.

Trigger Cues

Trigger this skill when the user asks for one or more of:

  • Ask to find optimization opportunities in a repository/library.
  • Ask for optimization roadmap + implementation.
  • Require test-first optimization delivery and commit (final or per step).
  • Require behavior-driven delivery (BDD) or acceptance scenarios.

Workflow

0. Discover Optimization Backlog
  • Scan the repository before planning changes.
  • Classify findings into: performance, reliability, maintainability, security, developer experience, and cost.
  • For each finding, record:
    • symptom and evidence (file/path/metric)
    • expected impact
    • effort estimate
    • risk level
  • Build a prioritized backlog using impact/effort/risk.
  • Explicitly mark low-confidence findings as hypotheses.
1. Define Ready Criteria (DoR)

See shared delivery base: references/delivery-base.md

Additional for optflow:

  • If implementation is requested and commit style is not explicitly specified, use per_step (default).
  • If user says "per step optimize and test then commit", use per_step.
2. Build Complete Plan Before Editing

See shared delivery base: references/delivery-base.md

3. Add BDD Layer When Needed

Use BDD if user requests it, or if requirements are unclear.

For BDD Lite, Scenario Quality Checklist, Scenario Outline, and Test Layer mapping, see the shared reference:

references/bdd-guide.md

4. Execute Step by Step

See shared delivery base: references/delivery-base.md

  • Treat one planned step as one feature boundary whenever possible.
  • If commit_policy = per_step (default for implementation):
    • Stage only files for current step/feature.
    • Run step-level checks first.
    • Commit immediately after step checks pass.
    • Record step -> commit hash mapping.
5. Apply No-Backward-Compatibility Mode (When Requested)

See shared delivery base: references/delivery-base.md

6. Validate with Test Matrix

See shared delivery base: references/delivery-base.md

Per-step mandatory loop (when commit_policy = per_step):

  1. Implement current feature step.
  2. Run mapped step checks (at least one automated command).
  3. If checks pass, commit this step immediately.
  4. Move to next feature step.
7. Commit and Handoff

See shared delivery base: references/delivery-base.md

  • per_step: each step must already be committed before next step starts.

Output Templates

Optimization Backlog Template
Finding:
Category: <performance|reliability|maintainability|security|dx|cost>
Evidence: <file/metric/log>
Impact: <high|medium|low>
Effort: <high|medium|low>
Risk: <high|medium|low>
Priority score: <...>
Decision: <implement now|defer>
Optimization Plan Template
Selected Findings:
1. <finding>
2. <finding>

Execution Steps:
1. <step> (done condition: <...>)
2. <step> (done condition: <...>)

Expected Gains:
- <metric or qualitative gain>

Guardrails

  • Do not stop at planning when implementation is expected.
  • Do not leave partially completed plan steps.
  • Do not defer required testing when it can be run now.
  • Do not move to the next plan step before committing when commit_policy = per_step.
  • Do not merge multiple completed feature steps into one commit when commit_policy = per_step.
  • Do not claim compatibility if user explicitly requested no compatibility work.
  • Do not include unrelated pre-existing dirty files in commits.
  • Do not hand off without concrete validation evidence.

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