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Found 2,024 Skills
Integration patterns for the GitHub Accessibility Scanner Action (github/accessibility-scanner). Teaches agents how to detect scanner presence, parse scanner-created issues, correlate findings with local scans, and track Copilot-assigned fix status.
Draft a technical Request for Comments (RFC) or technical proposal document based on a rough idea or scattered requirements. Triggers when the user asks to write an RFC, draft a technical proposal, or structure an architecture design.
Strategic sales leadership guidance for B2B SaaS and enterprise software companies. Covers sales strategy, team building, pipeline management, enterprise selling, discovery calls, demos, proposals, negotiations, and sales operations. Use when building sales teams, designing sales processes, improving win rates, or scaling revenue operations. Use for "sales strategy", "sales process", "pipeline review", "deal strategy", "sales hiring", "quota planning".
Complete security remediation workflow. Scans code for vulnerabilities using Snyk, fixes them, validates the fix, and optionally creates a PR. Supports both single-issue and batch mode for multiple vulnerabilities. Use this skill when: - User asks to fix security vulnerabilities - User mentions "snyk fix", "security fix", or "remediate vulnerabilities" - User wants to fix a specific CVE, Snyk ID, or vulnerability type (XSS, SQL injection, path traversal, etc.) - User wants to upgrade a vulnerable dependency - User asks to "fix all" vulnerabilities or "fix all high/critical" issues (batch mode)
Build AI agent interfaces with Polpo UI — composable React chat components, CLI tools, and starter templates. Use when the user wants to create a chat app, add chat components, install @polpo-ai/chat, scaffold a Polpo project, configure theming/dark mode, use ChatInput, ChatMessage, ChatSessionList, or any Polpo UI component. Triggers on "polpo ui", "chat UI", "chat component", "@polpo-ai/chat", "@polpo-ai/ui", "create-polpo-app", "chat input", "session list", "agent selector", "chat interface", "polpo chat", "chat widget", "multi-agent".
Set up or update the agent-first engineering harness for any repository. Implements the complete scaffolding that makes AI coding agents effective: knowledge maps (AGENTS.md as a concise TOC), structured documentation, architecture boundaries, enforcement rules (.harness/*.yml specs), quality scoring, and process patterns for agent-driven development. Use this skill whenever someone wants to make a repo agent-ready, set up AGENTS.md or docs/ structure, define domain boundaries or golden principles, generate .harness/ configuration, audit agent readiness, or update an existing harness. Also trigger when a user reports problems with agent effectiveness, context management, or architectural drift — these are symptoms of a missing or stale harness. Trigger on: "harness this repo", "set up harness", "agent-first setup", "make this agent-ready", "update the harness", "assess agent readiness", "set up AGENTS.md", "organize for agents", or any discussion about structuring a codebase for AI agent workflows.
Apply platform economics to analyze network effects, solve chicken-and-egg problems, and design multi-sided platform pricing strategies. Use this skill when the user needs to evaluate a platform business model, diagnose why a platform is failing to scale, or choose a subsidy strategy for bootstrapping a two-sided market.
[Pragmatic DDD Architecture] Interactive guide for scaffolding and bootstrapping a new project or module from scratch. Use this skill when the user asks to start a new project or add a massive new feature. It instructs the agent to run an assessment wizard, define the PRD, evaluate serverless tech, and set up the foundation.
Install the full development workflow into a Claude Code project: slash commands for breakdown, spec, work, commit, review, PR, security scanning, and issue triage; agents for architecture, implementation, quality review, and git management. Run this after the greenfield or brownfield skill has set up the project foundation. Trigger phrases: "/workflow", "install workflow", "set up commands", "set up agents", "install breakdown and work commands", "configure my workflow", "install the development workflow".
Find Kalshi prediction markets on DFlow that match a criterion — arbitrage (YES+NO<$1), cheap long-shots, near-certain short-dated plays, biggest movers, widest spreads, highest volume, closing soonest, and series/event-level scans. Use when the user asks "where's the free money?", "any mispriced markets?", "cheap YES with volume", "what moved today?", "markets closing soon", "cheapest YES in this event", "top markets by volume", or "alert me when X happens" (streaming). Do NOT use to place orders (use `dflow-kalshi-trading`), to view a user's own positions (use `dflow-kalshi-portfolio`), or for general live-data plumbing unrelated to a scan (use `dflow-kalshi-market-data`).
Produce a long-form, shareable markdown writeup on whether Claude has regressed on this user's work. A bundled Python script scans `~/.claude/projects/`, computes every metric, and renders a markdown skeleton with tables already filled — in ~2.5s. Claude fills a dozen short narrative placeholders and saves. Writes `./cc-canary-<YYYY-MM-DD>.md` suitable for pasting into a GitHub issue or gist.
Online reputation management strategy — monitoring reviews across Google, Yelp, Facebook, and industry sites, responding to negative reviews, generating more reviews, managing business listings, Google Business Profile optimization, reputation recovery after a crisis. Covers multi-location reputation at scale. Use when Google reviews disappeared or got removed, negative review is hurting your business, not getting enough reviews, business listings show wrong information, unsure which reputation management tool to pick, or your star rating is dropping. Do NOT use for ecommerce product review apps (use /sales-customer-reviews), B2B software reviews on G2 (use /sales-g2), or social listening for brand mentions (use /sales-social-listening).