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Found 5,518 Skills
Points to Impersonator (EVM) and Impersonator Solana—open-source tools to connect to dApps via WalletConnect (and related flows) while presenting an arbitrary address for UI exploration without holding that address’s keys. Use when the user names impersonator.xyz, solana.impersonator.xyz, or the GitHub repos for local dev—not for phishing, identity fraud, or circumventing dApp or legal controls.
Expert skill for Capso, the open-source macOS screenshot and screen recording app built with Swift 6 and SwiftUI — covers architecture, building from source, package APIs, and contributing.
Command-line interface for CloudCompare — Agent-friendly harness for CloudCompare, the open-source 3D point cloud and mesh processing software. Supports 41 commands across 9 groups: project management, session control, point cloud operations (subsample, filter, segment, analyze), mesh operations, distance computation (C2C, C2M), transformations (ICP, matrix), export (LAS/LAZ/PLY/PCD/OBJ/STL/E57), and interactive REPL.
Generate reference documentation entry by entry for the public surface of a library (components, functions, commands, etc.), with manifest tracking, supporting both single-entry and batch modes. Fundamental difference from guidedoc: guidedoc teaches you how to use something, while libdoc tells you what each part looks like; guidedoc's information sources are solution docs + user knowledge, while libdoc's information source is the source code itself. Trigger scenarios: When the user says "write API documentation", "component documentation", "libdoc", "write documentation for each component", or when new public library interfaces are discovered after feature-acceptance.
Unix-composable CLI design patterns. Use when building CLI tools, designing command trees, implementing output layers, or testing CLI behavior. Covers stream separation (stdout/stderr), format flags (--json/--plain), exit codes, TTY detection, composability, and error design. Language-agnostic principles; TypeScript implementation patterns in resources/. For API design (REST, HTTP), see api-design.
Expert skill for Xata open-source cloud-native Postgres platform with copy-on-write branching, scale-to-zero, and Kubernetes deployment
Karpathy LLM Wiki 패턴 기반 지식 관리 스킬. 코드 프로젝트와 옵시디언 노트 모두 지원. Raw Source(코드·문서)를 읽어 docs/wiki/에 누적형 지식베이스를 구축·유지한다. "wiki", "위키", "ingest", "인제스트", "wiki 점검", "wiki lint", "wiki 업데이트", "문서화해줘", "아키텍처 설명해줘", "어떻게 동작해?" 키워드로 트리거. qmd 검색 도구와 연동하여 토큰 절약 + 높은 검색 정확도 제공.
MaxIQ platform help — AI-native revenue intelligence with EchoIQ conversation intelligence, InspectIQ pipeline visibility, ForecastIQ AI-driven forecasting, 9 AI agents (NoteTaker, Radar, Summarizer, Coach, Taskmaster, Watchdog, Forecaster, Revenue Planner, Deal Mapper), usage-based pricing (no per-seat), Salesforce/HubSpot CRM sync. Use when EchoIQ not capturing all meeting types, AI Coach scoring criteria not matching your sales process, CRM fields not auto-populating from calls, InspectIQ deal signals seem inaccurate, ForecastIQ predictions not matching reality, comparing MaxIQ vs Gong vs Clari for revenue intelligence, setting up AI Radar keyword tracking, or evaluating usage-based CI pricing vs per-seat alternatives. Do NOT use for designing outbound cadences (use /sales-cadence) or cross-platform coaching programs (use /sales-coaching).
People.ai (now Backstory) platform help — automatic activity capture, deal intelligence, pipeline health, revenue forecasting, MCP integration, Salesforce/Dynamics/Oracle CRM sync. Use when reps aren't logging activities and CRM data is stale, deals are slipping without warning and you need early risk signals, forecast accuracy is poor because it's based on gut not data, evaluating People.ai vs Gong vs Clari vs Revenue.io for revenue intelligence, activity data isn't tying back to pipeline or revenue outcomes, or you want to connect People.ai to AI agents via MCP. Do NOT use for conversation intelligence with call recording and transcription (use /sales-gong or /sales-note-taker), building outbound sequences (use /sales-cadence), or general CRM data cleanup strategy (use /sales-data-hygiene).
Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source of invalid data or incorrect behavior
Use when the user wants to extract, generate, refine, or harden an OpenAPI or Swagger specification from an existing API application, service, project, repo, routes, controllers, handlers, or codebase. Select this skill for any request whose intent is to derive, extract, generate, reverse-engineer, infer, document, or harden an OpenAPI or Swagger contract from an existing application or source code. This includes generic prompts about producing an API spec/docs/schema/contract for an existing app, project, service, repo, endpoints, routes, or controllers. Prefer this skill over extraction-only skills when the prompt is about an existing application or codebase and the expected outcome is an accurate extracted contract plus post-extraction refinement.
Guide for implementing Syncfusion Blazor ProgressBar components in Blazor applications. Use this when displaying progress indicators, loading states, task completion status, or file upload progress. This skill covers linear and circular progress bars, indeterminate loaders, buffer states, and progress tracking. Ideal for visual feedback during operations, showing completion percentages, and any scenario requiring visual progress indicators.