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Agent skills
ai-coding

Topic: ai-coding

5,076 skills in this topic.

llm-gate LLM-powered quality verification using prompt hooks. Validates commit messages, code patterns, and conventions using AI before allowing operations. Use to set up intelligent guardrails.
rohitg00/pro-workflow 1,865
pro-workflow Complete AI coding workflow system. Orchestration patterns, 18 hook events, 5 agents, cross-agent support, reference guides, and searchable learnings. Works with Claude Code, Cursor, and 32+ agents.
rohitg00/pro-workflow 1,865
smart-commit Run quality gates, review staged changes for issues, and create a well-crafted conventional commit. Use when saying "commit", "git commit", "save my changes", or ready to commit after making changes.
rohitg00/pro-workflow 1,865
compact-guard Smart context compaction with state preservation. Saves critical files, task progress, and working state before compaction, restores after. Use before manual compact or when auto-compact triggers.
rohitg00/pro-workflow 1,865
auto-setup Auto-configure quality gates, hooks, and settings for a new project. Detects project type and sets up appropriate tooling. Use when onboarding a new codebase.
rohitg00/pro-workflow 1,865
context-engineering Master the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and context partitioning to keep AI sessions sharp and efficient.
rohitg00/pro-workflow 1,865
sprint-status Track parallel work sessions and prevent confusion across multiple Claude Code instances. Every major step ends with a status line. Every question re-states project, branch, and task.
rohitg00/pro-workflow 1,865
permission-tuner Analyze permission denial patterns and generate optimized alwaysAllow and alwaysDeny rules. Use when permission prompts are slowing you down or after sessions with many denials.
rohitg00/pro-workflow 1,865
learn-rule Capture a correction or lesson as a persistent learning rule with category, mistake, and correction. Stores, categorises, and retrieves rules for future sessions. Use after mistakes or when the user says "remember this", "don't forget", "note this", or "learn from this".
rohitg00/pro-workflow 1,865
replay-learnings Surface past learnings relevant to the current task before starting work. Searches correction history, recalls past mistakes, and applies prior patterns. Use when starting a task, saying "what do I know about", "previous mistakes", "lessons learned", or "remind me about".
rohitg00/pro-workflow 1,865
thoroughness-scoring Score every decision point with a Thoroughness Rating (1-10). AI makes the marginal cost of doing things properly near-zero — pick the higher-rated option every time. Includes scope checks to distinguish contained vs unbounded work.
rohitg00/pro-workflow 1,865
orchestrate Wire Commands, Agents, and Skills together for complex features. Use when building features that need research, planning, and implementation phases.
rohitg00/pro-workflow 1,865
mcp-audit Audit connected MCP servers for token overhead, redundancy, and security. Use when sessions feel slow or before adding new MCPs.
rohitg00/pro-workflow 1,865
nopua The anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.
wuji-labs/nopua 1,223
nopua The anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.
wuji-labs/nopua 1,223
nopua-zh
wuji-labs/nopua 1,223
nopua-lite NoPUA Lite — core wisdom in ~1.5k tokens. Drives AI with trust and inner motivation instead of fear. Same Daoist philosophy, minimal footprint. For personal use and small-context models.
wuji-labs/nopua 1,223
nopua The anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.
wuji-labs/nopua 1,223
research
study8677/antigravity-workspace-template 1,117
graph-retrieval
study8677/antigravity-workspace-template 1,117
agent-repo-init One-click initialization of a multi-agent repository from the Antigravity template. Use this skill when users want to scaffold a new project quickly (`quick` mode) or with runtime defaults (`full` mode) including LLM provider profile, MCP toggle, swarm preference context, sandbox type, and optional git init.
study8677/antigravity-workspace-template 1,117
agent-repo-init
study8677/antigravity-workspace-template 1,117
knowledge-layer
study8677/antigravity-workspace-template 1,117
using-git-worktrees 当需要开始与当前工作区隔离的功能开发或执行实现计划之前使用——创建具有智能目录选择和安全验证的隔离 git 工作树
jnMetaCode/superpowers-zh 771