Best for
- 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
affaan-m/ECC/skills/project-flow-ops/SKILL.md
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.
Decision brief
This skill turns disconnected GitHub issues, PRs, and Linear tasks into one execution flow.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/affaan-m/ECC --skill "skills/project-flow-ops"Inspect the Agent Skill "project-flow-ops" from https://github.com/affaan-m/ECC/blob/4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38/skills/project-flow-ops/SKILL.md at commit 4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Every item should end up in one of these states:
Never merge from title, summary, or trust alone; use the full diff
Triage open PR or issue backlogs
GitHub is the public and community truth
Permission review
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 77/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 234,327 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
This skill turns disconnected GitHub issues, PRs, and Linear tasks into one execution flow.
Use it when the problem is coordination, not coding.
Gather:
Every item should end up in one of these states:
| State | Meaning |
|---|---|
| Merge | self-contained, policy-compliant, ready |
| Port/Rebuild | useful idea, but should be manually re-landed inside ECC |
| Close | wrong direction, stale, unsafe, or duplicated |
| Park | potentially useful, but not scheduled now |
Create or update Linear only if:
Do not mirror everything mechanically.
When work is active:
When work ships or is rejected:
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
Alternatives
affaan-m/ECC
Review project-flow-ops's use cases, installation, workflow, and original source instructions.
affaan-m/ECC
Review project-flow-ops's use cases, installation, workflow, and original source instructions.
event4u-app/agent-config
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
K-Dense-AI/scientific-agent-skills
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.