Skip to content
project-flow-ops logo

Project Flow Ops

project-flow-ops

Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.

affaan-m/ecc7.7Kinstalls273.3Kstars

SKILL.md

Full skill instructions

Project Flow Ops

This skill turns disconnected GitHub issues, PRs, and Linear tasks into one execution flow.

Use it when the problem is coordination, not coding.

When to Use

  • Triage open PR or issue backlogs
  • Decide what belongs in Linear vs what should remain GitHub-only
  • Link active GitHub work to internal execution lanes
  • Classify PRs into merge, port/​rebuild, close, or park
  • Audit whether review comments, CI failures, or stale issues are blocking execution

Operating Model

  • GitHub is the public and community truth
  • Linear is the internal execution truth for active scheduled work
  • Not every GitHub issue needs a Linear issue
  • Create or update Linear only when the work is:
    • active
    • delegated
    • scheduled
    • cross-functional
    • important enough to track internally

Core Workflow

1. Read the public surface first

Gather:

  • GitHub issue or PR state
  • author and branch status
  • review comments
  • CI status
  • linked issues

2. Classify the work

Every item should end up in one of these states:

StateMeaning
Mergeself-contained, policy-compliant, ready
Port/​Rebuilduseful idea, but should be manually re-landed inside ECC
Closewrong direction, stale, unsafe, or duplicated
Parkpotentially useful, but not scheduled now

3. Decide whether Linear is warranted

Create or update Linear only if:

  • execution is actively planned
  • multiple repos or workstreams are involved
  • the work needs internal ownership or sequencing
  • the issue is part of a larger program lane

Do not mirror everything mechanically.

4. Keep the two systems consistent

When work is active:

  • GitHub issue/​PR should say what is happening publicly
  • Linear should track owner, priority, and execution lane internally

When work ships or is rejected:

  • post the public resolution back to GitHub
  • mark the Linear task accordingly

Review Rules

  • Never merge from title, summary, or trust alone; use the full diff
  • External-source features should be rebuilt inside ECC when they are valuable but not self-contained
  • CI red means classify and fix or block; do not pretend it is merge-ready
  • If the real blocker is product direction, say so instead of hiding behind tooling

Output Format

Return:

PUBLIC STATUS
- issue / PR state
- CI / review state

CLASSIFICATION
- merge / port-rebuild / close / park
- one-paragraph rationale

LINEAR ACTION
- create / update / no Linear item needed
- project / lane if applicable

NEXT OPERATOR ACTION
- exact next move

Good Use Cases

  • "Audit the open PR backlog and tell me what to merge vs rebuild"
  • "Map GitHub issues into our ECC 1.x and ECC 2.0 program lanes"
  • "Check whether this needs a Linear issue or should stay GitHub-only"

More skills from affaan-m

coding-standards logo
affaan-m/ecc

coding-standards

Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.

273.3K 14K
View
golang-testing logo
affaan-m/ecc

golang-testing

Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.

273.3K 13.1K
View
docker-patterns logo
affaan-m/ecc

docker-patterns

Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.

273.3K 12.7K
View

Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.

273.3K 12.2K
View
video-editing logo
affaan-m/ecc

video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

273.3K 12.2K
View
python-patterns logo
affaan-m/ecc

python-patterns

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

273.3K 12.1K
View
frontend-slides logo
affaan-m/ecc

frontend-slides

Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.

273.3K 12.1K
View
api-design logo
affaan-m/ecc

api-design

REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.

273.3K 11.9K
View
django-patterns logo
affaan-m/ecc

django-patterns

Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.

273.3K 11.9K
View
postgres-patterns logo
affaan-m/ecc

postgres-patterns

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

273.3K 11.9K
View
tdd-workflow logo
affaan-m/ecc

tdd-workflow

Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.

273.3K 11.6K
View
prompt-optimizer logo
affaan-m/ecc

prompt-optimizer

Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants the task executed directly, or says "just do it" / "直接做". DO NOT TRIGGER when user says "优化代码", "优化性能", "optimize performance", "optimize this code" — those are refactoring/performance tasks, not prompt optimization.

273.3K 11.3K
View

Popular AI tools

Kaiber logo
Video

Kaiber

Generate, edit, and beat-sync AI video with leading models in one workspace.

Paid
View
Vimcal logo
Productivity

Vimcal

The world's fastest calendar for remote work

Free
View

Transform Your Design with AI Designer by ImgCreator.ai

Freemium
View
Akool AI logo
Content & writing

Akool AI

Revolutionizing Video Production with AI-Powered Creativity

Paid
View

Extend an image past the frame and let AI fill the new aspect ratio.

Freemium
View
StarByFace logo
Security

StarByFace

Discover your celebrity doppelgänger with StarByFace!

Free
View
C

ChainClarity explains 700+ crypto whitepapers in plain English, with layered summaries, comparisons, research tools, alerts, and a $4.99 Pro plan.

Freemium
View
Opus Clip logo
Coding & apps

Opus Clip

Opus.ai: Revolutionize Your Web Experience

Free
View