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Agent skills
antigravity

Topic: antigravity

4,954 skills in this topic.

golang-continuous-integration Provides CI/CD pipeline configuration using GitHub Actions for Golang projects. Covers testing, linting, SAST, security scanning, code coverage, Dependabot, Renovate, GoReleaser, code review automation, and release pipelines. Use this whenever setting up CI for a Go project, configuring workflows, adding linters or security scanners, setting up Dependabot or Renovate, automating releases, or improving an existing CI pipeline. Also use when the user wants to add quality gates to their Go project.
samber/cc-skills-golang 1,150
golang-observability Golang everyday observability — the always-on signals in production. Covers structured logging with slog, Prometheus metrics, OpenTelemetry distributed tracing, continuous profiling with pprof/Pyroscope, server-side RUM event tracking, alerting, and Grafana dashboards. Apply when instrumenting Go services for production monitoring, setting up metrics or alerting, adding OpenTelemetry tracing, correlating logs with traces, migrating legacy loggers (zap/logrus/zerolog) to slog, adding observability to new features, or implementing GDPR/CCPA-compliant tracking with Customer Data Platforms (CDP). Not for temporary deep-dive performance investigation (→ See golang-benchmark and golang-performance skills).
samber/cc-skills-golang 1,150
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
golang-lint Provides linting best practices and golangci-lint configuration for Go projects. Covers running linters, configuring .golangci.yml, suppressing warnings with nolint directives, interpreting lint output, and managing linter settings. Use this skill whenever the user runs linters, configures golangci-lint, asks about lint warnings or suppressions, sets up code quality tooling, or asks which linters to enable for a Go project. Also use when the user mentions golangci-lint, go vet, staticcheck, revive, or any Go linting tool.
samber/cc-skills-golang 1,150
golang-project-layout Provides a guide for setting up Golang project layouts and workspaces. Use this whenever starting a new Go project, organizing an existing codebase, setting up a monorepo with multiple packages, creating CLI tools with multiple main packages, or deciding on directory structure. Apply this for any Go project initialization or restructuring work.
samber/cc-skills-golang 1,150
golang-modernize Continuously modernize Golang code to use the latest language features, standard library improvements, and idiomatic patterns. Use this skill whenever writing, reviewing, or refactoring Go code to ensure it leverages modern Go idioms. Also use when the user asks about Go upgrades, migration, modernization, deprecation, or when modernize linter reports issues. Also covers tooling modernization: linters, SAST, AI-powered code review in CI, and modern development practices. Trigger this skill proactively when you notice old-style Go patterns that have modern replacements.
samber/cc-skills-golang 1,150
golang-testing Provides a comprehensive guide for writing production-ready Golang tests. Covers table-driven tests, test suites with testify, mocks, unit tests, integration tests, benchmarks, code coverage, parallel tests, fuzzing, fixtures, goroutine leak detection with goleak, snapshot testing, memory leaks, CI with GitHub Actions, and idiomatic naming conventions. Use this whenever writing tests, asking about testing patterns or setting up CI for Go projects. Essential for ANY test-related conversation in Go.
samber/cc-skills-golang 1,150
golang-stay-updated Provides resources to stay updated with Golang news, communities and people to follow. Use when seeking Go learning resources, discovering new libraries, finding community channels, or keeping up with Go language changes and releases.
samber/cc-skills-golang 1,150
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
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
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
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
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
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
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
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
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
github-actions Manage ClaudeBar's GitHub Actions CI/CD pipelines: build, test, and release workflows. Use this skill when: (1) Setting up secrets for CI/CD (certificate, API key, Sparkle key, Codecov) (2) Creating a new release — tag-based or manual workflow_dispatch (3) Triggering or explaining the build.yml, tests.yml, or release.yml workflows (4) Debugging release failures (signing, notarization, appcast) (5) Managing beta vs stable channels for Sparkle auto-updates (6) User says "release a new version", "push a tag", "set up CI secrets", "why did the release fail"
tddworks/ClaudeBar 938
fix-bug Guide for fixing bugs in ClaudeBar following Chicago School TDD and rich domain design. Use this skill when: (1) User reports a bug or unexpected behavior (2) Fixing a defect in existing functionality (3) User asks "fix this bug" or "this doesn't work correctly" (4) Correcting behavior that violates the user's mental model
tddworks/ClaudeBar 938
add-report Guide for adding new report cards to ClaudeBar that analyze local data sources and display metrics with comparison deltas. Use this skill when: (1) Adding a new report/analytics card (e.g., weekly summary, model breakdown, session stats) (2) Creating data analysis features that read local files and display aggregated metrics (3) Adding comparison cards that show "today vs previous" style deltas (4) Building any feature that follows the DailyUsage pattern (parse → aggregate → report → card)
tddworks/ClaudeBar 938
add-provider Guide for adding new AI providers to ClaudeBar using TDD patterns. Use this skill when: (1) Adding a new AI assistant provider (like Antigravity, Cursor, etc.) (2) Creating a usage probe for a CLI tool or local API (3) Following TDD to implement provider integration (4) User asks "how do I add a new provider" or "create a provider for X"
tddworks/ClaudeBar 938
implement-feature Guide for implementing features in ClaudeBar following architecture-first design, TDD, rich domain models, and Swift 6.2 patterns. Use this skill when: (1) Adding new functionality to the app (2) Creating domain models that follow user's mental model (3) Building SwiftUI views that consume domain models directly (4) User asks "how do I implement X" or "add feature Y" (5) Implementing any feature that spans Domain, Infrastructure, and App layers
tddworks/ClaudeBar 938
improvement Guide for making improvements to existing ClaudeBar functionality using TDD. Use this skill when: (1) Enhancing existing features (not adding new ones) (2) Improving UX, performance, or code quality (3) User asks "improve X", "make Y better", or "enhance Z" (4) Small enhancements that don't require full architecture design For NEW features, use implement-feature skill instead.
tddworks/ClaudeBar 938
advanced-evaluation This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
guanyang/antigravity-skills 617