project-flow-ops
by affaan-mproject-flow-ops helps manage GitHub and Linear execution flow by triaging issues, PRs, reviews, and CI signals, then deciding what should merge, close, rebuild, or move into Linear. Use the project-flow-ops skill for Issue Tracking, backlog triage, PR cleanup, and GitHub-to-Linear coordination.
This skill scores 74/100, which means it is worth listing for users who need GitHub-to-Linear coordination and backlog triage, but it is not a fully polished operational package. The repository gives enough workflow detail for an agent to recognize when to use it and how to start, though users should expect some manual judgment in edge cases.
- Strong triggerability: the description clearly targets backlog control, PR triage, and GitHub-to-Linear coordination.
- Good operational framing: it defines GitHub as the public truth and Linear as the internal execution layer, which helps agents choose the right system.
- Useful workflow states: merge, port/rebuild, close, and park provide concrete classification outcomes instead of vague guidance.
- No install command, scripts, or support files, so adoption depends entirely on the SKILL.md instructions.
- Limited supporting artifacts and no repo/file references reduce trust for complex or ambiguous coordination scenarios.
Overview of project-flow-ops skill
What project-flow-ops does
The project-flow-ops skill helps you manage execution flow across GitHub and Linear by turning issues, PRs, and comments into a clear action path. It is most useful when you need the project-flow-ops skill to decide what should merge, what should be rebuilt, what should stay public, and what belongs in internal tracking.
Best fit for this skill
Use project-flow-ops for Issue Tracking, backlog triage, PR cleanup, and GitHub-to-Linear coordination. It is a strong fit for maintainers, project leads, and agents that need to keep public GitHub work visible while using Linear as the internal execution layer.
What makes it different
This is not a generic project-management prompt. The project-flow-ops guide is built around a concrete operating model: read the public surface first, classify the work, and only move items into Linear when they are active, delegated, scheduled, cross-functional, or otherwise worth internal tracking.
How to Use project-flow-ops skill
Install and load the skill
For project-flow-ops install, add it to your skills set with:
npx skills add affaan-m/everything-claude-code --skill project-flow-ops
Then open skills/project-flow-ops/SKILL.md first. This file is the main source of behavior and is the best place to confirm the workflow before you apply it to your own repo.
What input to give it
The project-flow-ops usage pattern works best when you provide the concrete object to triage: a GitHub issue number, PR URL, repo name, or a short list of items to classify. Include the current state if you know it: open, stale, blocked by CI, waiting on review, or already mirrored in Linear.
A stronger prompt looks like:
- “Use project-flow-ops to triage these 8 open PRs. Mark which should merge, which need rebuilds, and which can close.”
- “Apply project-flow-ops to decide which GitHub issues should become Linear tasks for this sprint.”
- “Use the project-flow-ops skill to audit whether these review comments and CI failures are blocking execution.”
Recommended workflow
Start with the public GitHub surface: issue body, PR branch, review comments, CI status, and linked work. Then classify each item into the skill’s working states, such as merge, port/rebuild, close, or park. Only after that should you decide whether Linear needs an entry or update.
Files to read first
For a fast project-flow-ops guide, read SKILL.md first and then inspect any linked repository context the skill references. In this repo, there are no extra rules/, resources/, or scripts/ folders to rely on, so the main value is in understanding the operating model in SKILL.md and adapting it to your own team rules.
project-flow-ops skill FAQ
Is project-flow-ops only for Linear users?
No. The skill is most valuable if you use Linear, but the core idea still helps if GitHub is your source of truth and you need disciplined triage. If you do use Linear, project-flow-ops is better than a generic prompt because it separates public work from internal execution.
When should I not use this skill?
Do not use project-flow-ops if you only need to write code, summarize a single issue, or brainstorm product ideas. It is designed for coordination decisions, not implementation or ideation.
Is the project-flow-ops skill beginner-friendly?
Yes, if you can identify a repo, issue, or PR and describe its status. Beginners benefit because the skill gives a simple decision path instead of forcing them to invent triage rules from scratch.
How is this different from asking an AI to “organize my backlog”?
A generic prompt may produce a list, but project-flow-ops encodes a working model: public-first review, explicit classification, and selective Linear usage. That makes the output easier to apply consistently across many items.
How to Improve project-flow-ops skill
Give the skill better decision signals
The best project-flow-ops inputs include the PR/issue title, why it exists, whether it is stale, any CI or review blockers, and whether the work is already assigned elsewhere. Those details help the skill avoid guessing and improve Issue Tracking decisions.
State the desired end state
Tell the skill what success looks like: merge, close, rebuild in a different form, or move into Linear. If you do not specify the target, the output may stay descriptive instead of operational.
Common failure modes to avoid
Do not send vague asks like “review this backlog.” Also avoid mixing unrelated repos without labeling them. The project-flow-ops skill works best when each item has clear context and a single expected action.
Iterate after the first pass
If the first result is too broad, tighten the scope by asking for a second pass on only the blocked items, only the stale issues, or only the PRs that look merge-ready. That usually produces a cleaner project-flow-ops usage result than asking for everything at once.