gentle-ai-collab-perfect
FeaturedTrigger: contributing to Gentleman-Programming/gentle-ai as an external collaborator. Strict issue-first workflow, honest PR bodies, contributor-vs-maintainer scope, chained-PR strategy, verification protocol, docstring coverage. Load whenever the active repo is Gentleman-Programming/gentle-ai and any part of the contribution flow is in scope: opening an issue, drafting or editing a PR body, splitting a change into chained/stacked PRs, or auditing a PR before requesting review.
Install
Quality Score: 92/100
Skill Content
Details
- Author
- Gentleman-Programming
- Repository
- Gentleman-Programming/gentle-ai
- Created
- 6 months ago
- Last Updated
- today
- Language
- Go
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
gentle-ai-branch-pr
Create Gentle AI pull requests with issue-first checks. Trigger: creating, opening, or preparing PRs for review.
smart-git-commit-contributor
Use this skill when contributing to ANY open source repo or team codebase — forking, branching, committing, opening PRs, or responding to review comments. Triggers on: "open a PR", "contribute to", "fork this repo", "submit my changes", "respond to review", "address feedback", "my PR got a comment", "prepare contribution", "make my PR better", "ready to submit". Produces PRs that look professional, get reviewed faster, and get merged. Handles the full contributor lifecycle from fork to merge.
agent-conduct
Use when starting a new task or session in this repository and deciding what to load first and in what order (AGENTS, README, manifests, active process/stage definitions, role competencies); when a stage step names an execution role and its competencies need resolving; when deciding whether to ask a clarifying question versus proceed; when a different execution role should run as an isolated sub-agent rather than continuing in the current context; when choosing which capability and provider to reach for (semantic, structural, or text search; knowledge retrieval; execution; context optimization) and in what order; when checking whether another installed plugin already owns a rule before writing a new one; or when deciding how verbose to be, whether to read a whole file versus a ranged slice, or how to point at a large existing artifact instead of re-pasting it. Covers `agent-conduct.md` (the canonical capability model, provider mapping, search strategy, and tool-agnostic contributor behavior rules) and `ai-con