github-stacks
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grepai
Workspace-first GrepAI search workflow for programming agents (v0.34+): project-scoped semantic search, token-efficient output, and reliable fallbacks.
interface-design
This skill is for interface design — dashboards, admin panels, apps, tools, and interactive products. NOT for marketing design (landing pages, marketing sites, campaigns).
juice-it-or-lose-it
Diagnose and add "juice" — game feel, feedback, and tactile polish — to games, prototypes, and interactive software. Use this skill whenever the user is building, polishing, prototyping, or reviewing a game (especially action, arcade, platformer, shooter, or rhythm games), or when they ask about game feel, juice, screen shake, hit feedback, particles, easing, tweening, screen pause/hitstop, juicy effects, "making it feel good", or why their prototype feels limp, lifeless, dry, or cheap. Also trigger when reviewing UI prototypes that need tactile response, or when the user mentions Jonasson, Purho, Vlambeer, Nuclear Throne, screen shake, or Steve Swink's "Game Feel" book. Apply even to non-game interactive software when the user wants buttons, transitions, or interactions to feel responsive and satisfying.
lemmascript
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leta
Fast semantic code navigation via LSP. Load FIRST before ANY code task - even 'simple' ones. Trigger scenarios: (1) fixing lint/type/pyright/mypy warnings or errors, (2) fixing reportAny/reportUnknownType/Any type errors, (3) adding type annotations, (4) refactoring or modifying code, (5) finding where a function/class/symbol is defined, (6) finding where a symbol is used/referenced/imported, (7) understanding what a function calls or what calls it, (8) exploring unfamiliar code or understanding architecture, (9) renaming symbols across codebase, (10) finding interface/protocol implementations, (11) ANY task where you'd use ripgrep to find code or read-file to view a function. Use `leta show SYMBOL` instead of read-file, `leta refs SYMBOL` instead of ripgrep for usages, `leta grep PATTERN` instead of ripgrep for definitions, `leta files` instead of list-directory.
nanobanana
Craft high-precision prompts and edit instructions for Nano Banana image workflows, especially when using the local nanobanana MCP tools for generation, editing, character consistency, or multi-image fusion. Use when the task needs structured prompts, reference-role assignment, layout-heavy image specs, typography-heavy images, iterative edit-first refinement, or reliable model/aspect/output-path choices.
odw-authoring
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odw-supervision
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odw-testing
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sem
Semantic version control — entity-level diffs on top of Git. Use when reviewing code changes, understanding what changed in a commit/PR, diffing files, analysing impact of changes, or when line-level diffs are insufficient. Triggers: sem diff, semantic diff, what changed, entity diff, function diff, impact analysis, entity blame, dependency graph, code change summary, what broke, what was renamed, show changes semantically, 语义差异, 实体级别差异
visual-design-web
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weave-git-merge
Use and troubleshoot Weave as an entity-aware Git merge driver during merges, rebases, cherry-picks, and conflict resolution. Use when configuring Weave, previewing a merge, checking whether Git will invoke it, interpreting Weave conflict markers or exit behaviour, detecting structurally corrupt clean results, bypassing Weave safely, recovering from driver failures, or explaining what Weave actually resolves versus when it falls back to line-level merging.
zod4-typescript
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ansible-testing
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agent-orchestration-multi-agent-optimize
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
agent-orchestration-improve-agent
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
agentica-infrastructure
Reference guide for Agentica multi-agent infrastructure APIs
agent-memory-systems
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm
alphaear-sentiment
Analyze text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial texts.
ai-tuning
Optimize AI assistant configurations for maximum effectiveness. USE THIS SKILL when user says "improve CLAUDE.md", "better copilot instructions", "tune AI", "optimize prompts", "MCP configuration", or wants to enhance AI assistant behavior. See .github/instructions/ai-tuning.instructions.md for standards.
ai-tools
Reference for all AI tools available in DBX Studio's AI chat system. Use when adding, modifying, or debugging AI tool definitions, tool execution, or provider integrations.
ai-tool-creation
AI SDK v5 tool creation patterns for this project. Factory functions, Zod schemas, budget tracking, rate limiting, caching, timeout handling. Triggers on "tool", "ai tool", "searchAll", "codeExecution", "urlReader", "tool creation".
ai-structured-output
Generate type-safe AI content using Gemini structured output with Zod validation and Code Execution Tool. Use when building AI generation functions that need guaranteed output format.
ai-sdk-ui
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ai-sdk-setup
Install the Vercel AI SDK with AI Elements components. Build a streaming chat interface with the useChat hook.
AI SDK Documentation
This skill should be used when working with Vercel AI SDK, AI Gateway, streamText, generateText, generateObject, streamObject, tool calling, or AI SDK providers. Also relevant for "ai-sdk", "@ai-sdk/*" packages, or questions about AI SDK patterns, configuration, and best practices.
advisor-triggers
Detects when user requests warrant critical analysis via /advise command
agentica-prompts
Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
advanced-evaluation
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
agent-manager-skill
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
ai-analyzer
AI驱动的综合健康分析系统，整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。
ai-engineer
Build production-ready LLM applications, advanced RAG systems, and
agentica-sdk
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
agentica-server
Agentica server + Claude proxy setup - architecture, startup sequence, debugging
agentforce-2025
Salesforce Agentforce AI agents and autonomous automation (2025)
agent-compliance-auditor
Validates agent definitions against the Antigravity audit rubric.
2026-legal-research-agent
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ac-handoff-creator
Create handoff packages for session transitions. Use when ending sessions, preparing for continuation, saving session state, or creating resumable context.
ac-knowledge-graph
Manage knowledge graph for autonomous coding. Use when storing relationships, querying connected knowledge, building project understanding, or maintaining semantic memory.
ac-master-controller
Master controller for complete autonomous operation. Use when starting full autonomous projects, managing end-to-end workflow, controlling autonomous lifecycle, or running complete implementations.
ac-memory-manager
Manage persistent memory for autonomous coding. Use when storing/retrieving knowledge, managing Graphiti integration, persisting learnings, or accessing episodic memory.
ac-stop-hook-analyzer
Analyze context and decide on continuation via Stop hook. Use when determining if work should continue, analyzing completion status, making continuation decisions, or implementing the Two-Claude pattern.
add-agent-templates
Add new Agent templates to the meta-agent-skills framework.
adk-agent-builder
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adk-fundamentals
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adk
a set of guidelines to build with Botpress's Agent Development Kit (ADK) - use these whenever you're tasked with building a feature using the ADK
agent-assistant
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agent-audit
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