Topic: codex
8,457 skills in this topic.
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golang-grpc
Provides gRPC usage guidelines, protobuf organization, and production-ready patterns for Golang microservices. Use when implementing, reviewing, or debugging gRPC servers/clients, writing proto files, setting up interceptors, handling gRPC errors with status codes, configuring TLS/mTLS, testing with bufconn, or working with streaming RPCs.
samber/cc-skills-golang 1,150
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golang-code-style
Golang code style, formatting and conventions. Use when writing code, reviewing style, configuring linters, writing comments, or establishing project standards.
samber/cc-skills-golang 1,150
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golang-popular-libraries
Recommends production-ready Golang libraries and frameworks. Apply when the user asks for library suggestions, wants to compare alternatives, or needs to choose a library for a specific task. Also apply when the AI agent is about to add a new dependency — ensures vetted, production-ready libraries are chosen.
samber/cc-skills-golang 1,150
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golang-database
Comprehensive guide for Go database access. Covers parameterized queries, struct scanning, NULLable column handling, error patterns, transactions, isolation levels, SELECT FOR UPDATE, connection pool, batch processing, context propagation, and migration tooling. Use this skill whenever writing, reviewing, or debugging Golang code that interacts with PostgreSQL, MariaDB, MySQL, or SQLite. Also triggers for database testing or any question about database/sql, sqlx, pgx, or SQL queries in Golang. This skill explicitly does NOT generate database schemas or migration SQL.
samber/cc-skills-golang 1,150
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knowledge-layer
study8677/antigravity-workspace-template 1,117
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research
study8677/antigravity-workspace-template 1,117
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graph-retrieval
study8677/antigravity-workspace-template 1,117
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agent-repo-init
study8677/antigravity-workspace-template 1,117
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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
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capture-knowledge
Capture structured knowledge about a code entry point and save it to the knowledge docs. Use when users ask to document, understand, or map code for a module, file, folder, function, or API.
codeaholicguy/ai-devkit 1,097
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agent-orchestration
Proactively orchestrate running AI agents — scan statuses, assess progress, send next instructions, and coordinate multi-agent workflows. Use when users ask to manage agents, orchestrate work across agents, or check on agent progress.
codeaholicguy/ai-devkit 1,097
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verify
Enforce evidence-based completion claims — require fresh command output before reporting success. Use when completing any task, fixing a bug, finishing a phase, running tests, building, deploying, or making any "it works" claim.
codeaholicguy/ai-devkit 1,097
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technical-writer
Review and improve documentation for novice users. Use when users ask to review docs, improve documentation, audit README files, evaluate API docs, review guides, or improve technical writing.
codeaholicguy/ai-devkit 1,097
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simplify-implementation
Analyze and simplify existing implementations to reduce complexity, improve maintainability, and enhance scalability. Use when users ask to simplify code, reduce complexity, refactor for readability, clean up implementations, improve maintainability, reduce technical debt, or make code easier to understand.
codeaholicguy/ai-devkit 1,097
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dev-lifecycle
Structured SDLC workflow with 8 phases — requirements, design review, planning, implementation, testing, and code review. Use when the user wants to build a feature end-to-end, or run any individual phase (new requirement, review requirements, review design, execute plan, update planning, check implementation, write tests, code review).
codeaholicguy/ai-devkit 1,097
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memory
Use AI DevKit memory via CLI commands. Search before non-trivial work, store verified reusable knowledge, update stale entries, and avoid saving transcripts, secrets, or one-off task progress.
codeaholicguy/ai-devkit 1,097
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debug
Guide structured debugging before code changes by clarifying expected behavior, reproducing issues, identifying likely root causes, and agreeing on a fix plan with validation steps. Use when users ask to debug bugs, investigate regressions, triage incidents, diagnose failing behavior, handle failing tests, analyze production incidents, investigate error spikes, or run root cause analysis (RCA).
codeaholicguy/ai-devkit 1,097
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tdd
Test-driven development — write a failing test before writing production code. Use when implementing new functionality, adding behavior, or fixing bugs during active development.
codeaholicguy/ai-devkit 1,097
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ralph-log-events
Event schemas for ml-ralph log.jsonl. Use when logging any event.
pentoai/ml-ralph 33
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ralph-file-schemas
Schema reference for ml-ralph state files (prd.json, kanban.json). Use when reading or writing these files.
pentoai/ml-ralph 33
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ml-ralph
REQUIRED first step for ANY ML task. When user describes an ML problem, goal, experiment, or model improvement — ALWAYS invoke this skill BEFORE exploring code or planning. Triggers: ml-ralph, create prd, ml project, kaggle, implement model, improve model, train model, better model, new approach, experiment.
pentoai/ml-ralph 33
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ml-ralph
Create ML project PRDs. Triggers: ml-ralph, create prd, ml project, kaggle.
pentoai/ml-ralph 33
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opentui
Comprehensive OpenTUI skill for building terminal user interfaces. Covers the core imperative API, React reconciler, and Solid reconciler. Use for any TUI development task including components, layout, keyboard handling, animations, and testing.
nitodeco/ralph 7
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takt
TAKT ワークフローエンジン。codex exec でサブエージェントを起動し、ワークフロー YAML（steps / initial_step）に従って マルチエージェントオーケストレーションを実行する。
nrslib/takt 940