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Found 2,167 Skills
Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
Create, improve, or audit Vapi voice agent and Squad system prompts for production phone and web based voice agents. Use when the user wants help designing a Vapi assistant prompt, multi-assistant Squad prompt set, refining an existing prompt, creating prompt sections, building an intake or handoff workflow, improving tool-use instructions, adding guardrails, or optimizing voice-agent behavior for brevity, turn-taking, error handling, caller data collection, escalation, handoffs, and spoken formatting.
Covers creation and maintenance of a custom Bitrix module in /local/modules/<vendor>.<module>/ — CModule class, install/index.php, DoInstall and DoUninstall, install/version.php with $arModuleVersion, registration of events and agents during installation, module options (options.php), generation via make:module. Applied when creating a new module, refining installation/uninstallation, registering event handlers and publishing module options in the Admin Panel. Key terms — CModule, DoInstall, DoUninstall, module manifest, install/index.php, make:module, vendor.module.
Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls. Use when building, deploying, or hardening agentic AI systems that invoke tools, access data, or interact with production infrastructure.
Migrates skills, agents, and rules between Google Antigravity 2.0 (IDE/CLI) format and other Agentic AI Provider formats (Cursor, Windsurf, Claude Code, GitHub Copilot, Roo Code), and vice-versa. Use when asked to migrate/convert agent customizations, rules, or skills to or from Antigravity.
Turn an analytic geometry problem into a self-contained interactive teaching webpage: left column with problem statement + dynamic console (a variable parameter slider driving real-time recalculation of geometric quantities + theoretical range/fixed value indication), middle column with step-by-step explanations using KaTeX, right column with 2D Canvas dynamic geometry drawing board (ellipse/hyperbola/parabola/circle + moving lines/moving points + vectors + annotations + brush doodling). Supports three entry points—given text problems, random problem generation, and solving problems after uploading and recognizing problem images. Covers problem types such as finding standard equations, chord lengths, vector dot product ranges/fixed values, triangle area maxima/minima, fixed points, fixed values (product of slopes), loci, and eccentricities. Uses a unified method of "setting parametric line x=my+c + simultaneous equations + Vieta's formulas + substitution/constant separation", driven by sympy for precise calculations (answers, coordinates, step values, and theoretical ranges of the interactive engine are consistent from the same source). Other agents can also call this skill to generate such webpages. It parallels edu-solid-geometry in form but uses Canvas-2D + KaTeX (instead of Three.js). Trigger words: 解析几何, 圆锥曲线, 椭圆, 双曲线, 抛物线, 直线与圆锥曲线, 焦点弦, 弦长, 数量积取值范围, 向量数量积, 定点问题, 定值问题, 斜率之积, 三角形面积最值, 轨迹方程, 离心率, 解这道解析几何题, 随机出一道圆锥曲线题, 这张图里的解析几何题; analytic geometry, conic sections, ellipse, hyperbola, parabola, chord length, dot product range, fixed point, fixed value, locus, eccentricity, interactive analytic geometry solution page.
Build a production behavior-tree runtime (Blackboard, action/condition leaves, sequence/selector/parallel composites, decorators) and a Utility AI system (response curves — linear, exponential, sigmoid, quadratic — considerations, and action evaluators), plus hybrid BT-drives-Utility agents. Use when implementing a reusable behavior-tree or utility-based decision system, or tuning enemy/NPC decisions beyond a simple FSM, or when the user mentions behavior tree, blackboard, decorator, selector, sequence, tick status, utility AI, response/scoring curve, or consideration. For choosing between FSM/BT/steering or for pathfinding, use game-ai; for Unreal's BehaviorTree/Blackboard assets, use unreal-behavior-trees.
Design agent-native applications on Eve Horizon. Apply parity, granularity, composability, and emergent capability principles to make apps that agents can build, operate, and extend naturally.
Select interaction modes, capability tiers, risk levels, dispatch shapes, review mechanisms, and limited fallback options for non-trivial Agent tasks with clear objectives, scopes, and authorization. Applicable to tasks that require choosing between direct handling by the main Agent, single-task agents, and limited parallel processing, or determining capability tiers and review intensity based on complexity and risk; this Skill also guides users to choose to create, preview, or skip when the Codex project lacks validated Agent configurations. Do not use for simple Q&A, read-only confirmation, or directly verifiable minor modifications.
Maintain documentation for the ai-dev framework and ai-dev-skills collection. Use when code or skill changes affect documented behavior, commands, agents, plugins, version releases, repository structure, README content, or changelogs. Triggers: "update docs", "sync documentation", "update README", "update changelog", "documentation audit", "doc sync", "更新文檔", "同步文件", "文檔檢查", "/doc-updater".
Finds real estate agents, brokers, property investors, and real estate professionals on Twitter/X using apidojo's Twitter User Scraper on Apify. Triggers when the user asks to: find real estate agents on Twitter, discover property professionals on X for outreach, build a list of realtors active on Twitter, find real estate investors or brokers on X, prospect real estate professionals via their Twitter bios, identify mortgage brokers or property managers on Twitter, or compile a real estate professional contact list from Twitter. Returns username, bio, follower count, verification status, location, and website per user. Ideal for PropTech SaaS vendors, mortgage product teams, and B2B service providers targeting real estate professionals.
Audit one current-guidance instruction file for worth, placement, and clarity. TRIGGER when: user says 'refine/audit this file', 'prune and tighten this doc', or 'what here is worth keeping'; a skill, agent prompt, AGENTS.md, Claude path rule, maintained current document, or workflow needs one pass. SKIP when: shape-only tightening with no worth/place question (tighten-file).