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Found 2,969 Skills
TikTok content strategy, video creation workflows, posting optimization, and analytics. Based on n8n automation templates.
Creates, updates, or optimizes an AGENTS.md file for a repository with minimal, high-signal instructions covering non-discoverable coding conventions, tooling quirks, workflow preferences, and project-specific rules that agents cannot infer from reading the codebase. Use when setting up agent instructions or Claude configuration for a new repository, when an existing AGENTS.md is too long, generic, or stale, when agents repeatedly make avoidable mistakes, or when repository workflows have changed and the agent configuration needs pruning. Applies a discoverability filter—omitting anything Claude can learn from README, code, config, or directory structure—and a quality gate to verify each line remains accurate and operationally significant.
End-to-end test-fix workflow generate test sessions with progressive layers (L0-L3), then execute iterative fix cycles until pass rate >= 95%. Combines test-fix-gen and test-cycle-execute into a unified pipeline. Triggers on "workflow:test-fix-cycle".
Autonomous workflow execution pipeline with CSV wave engine. Session discovery → plan validation → IMPL-*.json → CSV conversion → wave execution via spawn_agents_on_csv → results sync. Task JSONs remain the rich data source; CSV is brief + execution state.
Manage Alibaba Cloud ApsaraVideo for Media Processing (MPS/MTS) resources and workflows via OpenAPI/SDK. Use for media ingest and metadata tasks, transcoding/snapshot jobs, pipeline/template/workflow operations, and MPS job troubleshooting.
Smoke test for alicloud-skill-creator. Validate repository path conventions, frontmatter quality, script compilation, and README index refresh workflow.
Orchestrate a multi-phase implementation workflow for this repository with artifact files under .ai/<project-name>/<letter>/ and fresh codex exec child runs per phase. Use when the user wants one prompt to drive context gathering, planning, plan assessment, implementation, build verification, and review iterations while keeping the main session context clean.
Expert guide for participating in the SOMA network — a decentralized system that trains a foundation model through competition. Provides data submission workflows, model training pipelines, reward claiming, SDK code generation, CLI command guidance, and competitive strategy optimization. Use when user mentions "SOMA", "soma-sdk", "soma-models", "submit data to SOMA", "train a SOMA model", "SOMA targets", "SOMA rewards", "next-byte prediction network", "decentralized model training", or asks about earning SOMA tokens through data or model contributions. Do NOT use for general machine learning, PyTorch, or JAX questions unrelated to the SOMA network.
Google Sheets integration. Manage analytics data, records, and workflows. Use when the user wants to interact with Google Sheets data.
Zoho CRM integration. Manage crm and marketing automation data, records, and workflows. Use when the user wants to interact with Zoho CRM data.
Design team workflows covering task management, collaboration rituals, and tooling.
Use when: building new UI from scratch and need design workflow (layout → theme → animation → code). Don't use when: extracting design from existing code (use frontend-design-extractor) or need full production site (use frontend-design-ultimate). Routing tree: "Building new site from scratch?" → frontend-design-ultimate; "Need UX critique or design tokens?" → ui-ux-pro-max; "Redesigning existing frontend with quantified eval?" → human-optimized-frontend; "Need design workflow (wireframe → theme → code)?" → frontend-design (superdesign); "Extracting design from existing codebase?" → frontend-design-extractor