القائمة
Groups git changes by logical purpose and commits them sequentially. Use when user runs /commit, asks to commit changes, or wants to review, group, and commit git changes.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Quick-reference card for all caveman modes, skills, and commands. One-shot display, not a persistent mode. Trigger: /caveman-help, "caveman help", "what caveman commands", "how do I use caveman".
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Review upstream changes to the local my-opencode reviewer swarm before selectively applying them. Use whenever the user asks to pull, sync, inspect, compare, or adopt reviewer or swarm changes from ~/Documents/yo/my-opencode. Never use it to install the upstream configuration wholesale.
Quick-reference card for all ponytail modes, skills, and commands. One-shot display, not a persistent mode. Trigger: /ponytail-help, "ponytail help", "what ponytail commands", "how do I use ponytail".
Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", and whenever they complain about over-engineering, bloat, boilerplate, or unnecessary dependencies.
Use whenever the task involves writing, drafting, revising, or reviewing a system prompt for an AI agent — autonomous or semi-autonomous LLM systems that use tools in a loop, including operator agents, research/sub-agents, tool-using assistants, MCP servers, multi-agent orchestrators, and coding agents. Trigger even when the user says "instructions", "system message", "agent persona", or "rules for the model", not just the word "prompt". Do NOT use for one-shot prompts (classification, single generation, single Q&A) — those need lighter prompt techniques, not the full agent skeleton.
| name | commit-manager |
| description | Groups git changes by logical purpose and commits them sequentially. Use when user runs /commit, asks to commit changes, or wants to review, group, and commit git changes. |
Groups changes by purpose, NOT by file. One commit = one logical change.
git add -p..ipynb files — run jupyter nbconvert --ClearOutputPreprocessor.enabled=True --inplace <file> or nbstripout <file> on each notebook.style — formatting / whitespacerefactor — code changes without behavior changefix — bug fixesperf — performance improvementsfeat — new featurestest — adding or modifying testsdocs — documentationchore — maintenance, config, build<type>: <short description>
Types:
| Type | Purpose |
|---|---|
feat | New functionality |
fix | Bug fix |
docs | Documentation only |
style | Formatting / whitespace (no logic change) |
refactor | Code change without behavior change |
test | Add or modify tests |
chore | Maintenance, config, build tasks |
git status and git diff to see all changes./commit or commit request as authorization to create the required commits..ipynb files, strip outputs with jupyter nbconvert --ClearOutputPreprocessor.enabled=True --inplace <file> or nbstripout <file>.