Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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chainlit
Expert guidance for building conversational AI applications with Chainlit framework in Python. Use when (1) creating chat interfaces for LLM applications, (2) building apps with OpenAI, LangChain, LlamaIndex, or Mistral AI, (3) implementing streaming responses, (4) adding UI elements like images, files, charts, (5) handling user file uploads, (6) implementing authentication (OAuth, password), (7) creating multi-step workflows with visible steps, (8) building RAG applications with document upload, or (9) deploying chat apps to web, Slack, Discord, or Teams.
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resize-story
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skill-sync
Syncs skill metadata to AGENTS.md Auto-invoke sections. Trigger: When updating skill metadata (metadata.scope/metadata.auto_invoke), regenerating Auto-invoke tables, or running ./skills/skill-sync/assets/sync.sh (including --dry-run/--scope).
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frontend-design-vuralserhat86-antigravity-agentic-
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template-update
Updates template files in metasaver-marketplace as the source of truth before applying changes elsewhere. Use when standardizing configs across repos - updates template FIRST, then uses it for remediation. For config skills and domain skills with templates.
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docker-architect
SOTA Docker/Compose architecture, implementation, refactor, and security hardening. Use when working on containerization tasks such as creating or rewriting Dockerfiles, docker-compose files, buildx/bake configs, .dockerignore, and CI pipelines for build/test/scan/publish; auditing existing container setups for security, correctness, size/perf, and best practices (least privilege, non-root, minimal images, pinned base images, BuildKit secrets, healthchecks); debugging Docker build/run issues; or designing dev vs prod compose workflows across services (DB/cache/queues) with correct networking, volumes, secrets, and resource limits.
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git-commit-formatter
生成符合 Conventional Commits 规范的 Git 提交信息。当用户要求生成提交、创建 commit 或写提交信息时使用
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graceful-shutdown
Implement graceful shutdown procedures to handle SIGTERM signals, drain connections, complete in-flight requests, and clean up resources properly. Use when deploying containerized applications, handling server restarts, or ensuring zero-downtime deployments.
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when-creating-skill-template-use-skill-builder-dnyoussef-context-cascade
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技能工厂
元技能：用于快速生成新的标准技能模组。
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gtasks-todo-manager
Manages to-do items across multiple Google accounts using the Google Tasks API. Use when the user needs to create, update, complete, or organize tasks in Google Tasks, manage task lists, or view tasks across multiple Google accounts. Supports personal Gmail, Google Workspace, and organization-provisioned accounts with secure OAuth authentication.
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memory-manager
Gerencia persistencia de contexto, decisoes e learnings do projeto.
Armazena e recupera informacoes entre sessoes para manter continuidade.
Use quando: salvar decisoes, recuperar contexto, persistir learnings.
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ghostty
Control Ghostty terminal emulator via CLI. Manage windows, tabs, splits, and configuration.
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skillz-integration-github-gh-aw
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parallel-agent-contracts
Parallel Agent Type Contracts
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plan-discuss
Shape and stabilize plan intent idempotently into `.plan/active.yaml` until `plan-create` is invoked.
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investigating-hms-internals
Investigates HEC-HMS internals through decompiled Java classes. Provides JythonHms
API reference, CLI options, version-specific differences (3.x vs 4.x), and guides
on-demand decompilation for new discoveries. Use when debugging HMS behavior,
discovering undocumented features, understanding version differences, validating
automation approaches, or investigating HMS API capabilities. Includes complete
JythonHms method reference, Python 2 vs 3 syntax differences, and decompilation
tooling. Complements hms_doc_query (official docs) with internal implementation details.
Trigger keywords: decompile, HMS internals, JythonHms API, HMS version differences,
CLI options, undocumented, HMS jar, HMS classes, debugging HMS, HMS source code,
HMS 3.x support, Python 2 vs 3, HMS methods, HMS parameters.
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expedition
Create a new expedition with proper ID allocation and template
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torchaudio
Audio signal processing library for PyTorch. Covers feature extraction (spectrograms, mel-scale), waveform manipulation, and GPU-accelerated data augmentation techniques. (torchaudio, melscale, spectrogram, pitchshift, specaugment, waveform, resample)
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roadmap-guide
在编写、更新、维护 roadmap.md 的时候触发
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usage-optimization
Usage Optimization Skill
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postgresql-backup
PostgreSQL backup and recovery - pg_dump, pg_basebackup, PITR
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canary-deployment
Implement canary deployment strategies to gradually roll out new versions to subset of users with automatic rollback based on metrics.
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plugin-testing
Master plugin testing, quality assurance, and validation. Learn unit testing, integration testing, and how to ensure plugin quality.
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