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Found 6,218 Skills
Use when managing Alibaba Cloud Cloud Backup (HBR) via OpenAPI/SDK, including the user asks for backup lifecycle operations such as resource listing, policy/config updates, job status queries, and troubleshooting HBR backup or restore workflows.
Organize research, discussions, and exploratory content into systematic knowledge documents, or collect and organize research information about companies/products. Use this skill when users request knowledge summarization, note organization, knowledge base document generation, or structuring discussion content into formal documents. It also applies to collecting and organizing research information about AI companies, startups, and products. Even if users don't explicitly mention "knowledge graph" or "knowledge base", this skill should be used for any workflow that involves sorting scattered information into systematic documents.
Runs the full validator workflow after coding tasks for requests such as "run the validator", "run final verification", "validate before commit", or "run validation". Executes checks and reviews before commit, push, or PR creation.
IDA Pro plugin that exposes static analysis capabilities via MCP HTTP server for reverse engineering workflows
Design and build multi-agent harness architectures for long-running AI application development. GAN-inspired Generator-Evaluator pattern, Sprint Contract negotiation, context management, quality criteria calibration. Based on Anthropic Engineering patterns. Use when: "build a harness", "multi-agent architecture", "agent orchestration", "generator-evaluator", "long-running app", "harness design", "agent pipeline", "quality evaluation loop", "sprint contract", "build app with agents", "Claude Agent SDK architecture", or when building complex full-stack apps that need planning → generation → evaluation cycles. Also use when discussing context degradation, self-evaluation bias, or assumption testing in AI workflows.
cmux release workflow, version bumping, changelog updates, pretag guard, release tags, and release asset expectations. Use when preparing or troubleshooting a cmux release.
When you have a decision to make and want a structured workflow that picks the load-bearing questions, walks through them, reaches a call (or "wait"), and archives the rationale for future reference. Based on the 37signals Guide to Making Decisions (38 questions). Triages to 6–8 relevant questions per decision instead of forcing all 38. Archives every decision to references/decisions-archive/ with a revisit date so you can check later whether the call was right. Triggers on "/decide," "help me decide," "should I [X]," "I need to make a decision about," "stuck on a decision," "deciding between," "go/no-go on," "what should I do about." This is both the decision-making workflow AND the decision log — making the decision is the act of logging it.
Generate descriptive chat titles from the first message using a fast LLM. Runs as a background workflow step after the main response to avoid delaying the experience.
This skill should be used when the user asks to "create a stack", "submit stacked PRs", "gt submit", "gt create", "reorganize branches", "fix stack corruption", or mentions Graphite, stacked PRs, gt commands, or trunk-based development workflows.
Programmatic screenshot capture on macOS. Find window IDs with Swift CGWindowListCopyWindowInfo, control application windows via AppleScript (zoom, scroll, select), and capture with screencapture. Use when automating screenshots, capturing application windows for documentation, or building multi-shot visual workflows.
Signal Sciences integration. Manage data, records, and automate workflows. Use when the user wants to interact with Signal Sciences data.
PASS, FLAG, and BLOCK review discipline for workflow review, QA verification, release checks, and issue closeout.