nextjs-seo-2026
Complete SEO and Answer Engine Optimization (AEO) skill for Next.js 15 apps. Covers metadata, structured data (JSON-LD), sitemap, robots.txt, Core Web Vitals, dynamic OG images, and AI crawler optimization. Use this skill when building or auditing SEO for any Next.js project.
adaptive-cards-authoring
Author Adaptive Cards for the current PiClaw web environment. Use when you need a prompt pattern, supported payload shape, or reusable card templates for structured web interactions.
webview â Native macOS Agent UI
Open a native webview window from an agent workflow, let the user interact, get structured JSON back. Replaces terminal Q&A with a proper UI when it helps.
authoring-stitch-prompts
Converts natural-language descriptions or UI spec files into optimized Google Stitch prompts. Use when creating, refining, or validating design directives for Google Stitch. Use when user says "create a Stitch prompt", "optimize this for Stitch", "convert this spec to a Stitch prompt", "write a UI prompt", or mentions Google Stitch prompt authoring. Follows Stitch best practices with short, directive prompts focused on screens, structure, and visual hierarchy.
AI Tells â Structural Review
A judgment-based pass that catches the subtle tells the surface scan misses. Cite each finding, name the family, suggest a fix-direction. Then offer to rewrite.
excalidraw-diagram-design
Guide for structuring graph input (nodes and edges) for the Excalidraw Architect MCP tool to produce clean, readable diagrams. Use when generating architecture diagrams, flow diagrams, or any visual diagram via create_diagram or mermaid_to_excalidraw.
bcos-wiki
Wiki zone manager for BCOS. Ingests URLs / local docs / inbox captures into docs/_wiki/ as schema-validated pages with banner citations, three structural shapes for source-summary, and two-tier refresh. Schema-driven, CLEAR-governed, derived-artifact. Invoke with /wiki.
Io.Github.EDKarlsson/Locus
Hierarchical markdown memory palace for AI agents — structured palace navigation via MCP tools.
Survey Mcp Server
MCP server for conducting dynamic, conversational surveys with structured data collection.
Mcp
Scrape any website, extract structured data, and collect web content at scale with AI agents
Io.Github.4rgon4ut/Sutra
Context Engineering Engine. Provides cognitive tools, memory structures, and agent patterns.
example-analysis
Example skill â analyze a topic and provide structured findings
developing-with-prism
Guide for developing with Prism PHP package - a Laravel package for integrating LLMs. Activate or use when working with Prism features including text generation, structured output, embeddings, image generation, audio processing, streaming, tools/function calling, or any LLM provider integration (OpenAI, Anthropic, Gemini, Mistral, Groq, XAI, DeepSeek, OpenRouter, Ollama, VoyageAI, ElevenLabs). Activate for any Prism-related development tasks.
resume-builder
Generate professional resumes that conform to the Reactive Resume schema. Use when the user wants to create, build, or generate a resume through conversational AI, or asks about resume structure, sections, or content. This skill guides the agent to ask clarifying questions, avoid hallucination, and produce valid JSON output for https://rxresu.me.
AgenticTotem Web Extractor
AI web extraction: send URLs + a JSON Schema, get clean structured data. Pay-per-use via x402.
sift-kg: AI Second Brain
The knowledge graph is your persistent, structured memory of the user's world â entities, relationships, communities, and how they all connect. It is built from the user's documents and persists across sessions.
codex-review-loop
Adversarial PR code review using Codex CLI. Codex review (~20-50 min) -> structured findings -> HITL approval -> fix loop.
Kontra Mcp
The Tenth Man Protocol — structured contrarian analysis for decision-makers via MCP
technical-seo-audit
Comprehensive technical SEO audit skill that analyses crawl data to identify issues, prioritise actions by business impact, and produce a detailed report plus actionable spreadsheet. Use this skill whenever the user wants to: run a technical SEO audit, analyse a website's technical health, review crawl data from Screaming Frog or Sitebulb, crawl a site via API (Firecrawl or similar), find indexability or crawlability issues, check Core Web Vitals, audit structured data or schema markup, detect cannibalisation or thin content, review redirect chains, find orphan pages, assess site architecture, or produce a prioritised list of SEO fixes. Also trigger when the user uploads a CSV from any crawl tool and asks for analysis, mentions "technical SEO", "site audit", "crawl audit", "SEO health check", or wants to understand why pages are not ranking from a technical perspective. This skill handles everything from data ingestion through to a business-impact-prioritised action plan.
/audit -- System Health Audit
Triggers the **auditor** agent to analyze `database/dqiii8.db` and produce a structured health report.
project-brain
A folder structure + collaboration protocol for persistent project context across AI sessions. Use it to scaffold a `brain/` folder in the user's project, resume work from an existing one, or update entries when work happens.
/spec â Collaborative Specification Workflow
This skill defines a structured two-agent specification flow.
Scholar Deep Research
End-to-end academic research workflow that turns a question into a cited, structured report. Built for depth: multi-source federation, transparent ranking, citation chasing, and a mandatory self-critique pass before the report ships.
PaperReport â Deep Structured Paper Report
This skill is the user-facing spec for a deep single-paper report. In the current local workflow, use it as the writing contract when a user asks for a deep report, detailed paper analysis, or formula derivation.
hunt-analytics-generation
Generate query-agnostic analytics that model adversary behavior by translating hunt investigative intent into analytic definitions grounded in schema semantics. This skill is used to define how behavior should manifest in data before query execution or validation, and works best when informed by system internals, adversary tradecraft, a structured hunt focus, and suggested data sources.
Memoir
Structured session journals for AI agents. Persistent memory across sessions.
anti-slop-guide
Use when drafting, editing, or reviewing any prose to detect and remove AI writing patterns including overused vocabulary (delve, tapestry, landscape), formulaic structures (binary contrasts, rule of three), throat-clearing openers, business jargon, and other LLM tells
capture-feedback
Capture structured thumbs up/down feedback with context, tags, and optional rubric scores after completing a task.
document-project
Generate comprehensive, professional project documentation structures including README, ARCHITECTURE, USER_GUIDE, DEVELOPER_GUIDE, and CONTRIBUTING files. Use when the user requests project documentation creation, asks to "document a project", needs standard documentation files, or wants to set up docs for a new repository. Adapts to Python/Go projects and OpenSource/internal contexts.
Diffgrab
Web page change tracking with structured diffs. markgrab + snapgrab integration.
Autonomous Conventions
Rules for commands and skills that run without user input (e.g., `/ops:get-to-work`, `/ops:batch-execute`). The goal is to keep moving and defer human judgment to a structured follow-up review.
mo-arch
Query code architecture using README_AI.md index files. Use when user asks about project structure, where features are implemented, how modules work, or wants to understand codebase architecture. Triggered by questions like "what does this do", "where is X implemented", "how does module Y work".
miniapp-center-hub-refactor
Refactor a growing WeChat Mini Program whose top-level navigation has become scattered across tabs such as home, profile, inbox, integrations, or settings into a clearer hub or center structure. Use when Codex needs to regroup top-level tabs, separate high-frequency action flows from low-frequency settings, define internal hub sections, or migrate detailed pages without collapsing everything into one long page.
architecting-systems
Guides clean, scalable system architecture during the build phase. Use when designing modules, defining boundaries, structuring projects, managing dependencies, or preventing tight coupling and brittleness as systems grow.
arxiv-doc-builder
Automatically convert arXiv papers to well-structured Markdown documentation. Invoke with an arXiv ID to fetch materials (LaTeX source or PDF), convert to Markdown, and generate implementation-ready reference documentation with preserved mathematics and section structure.
lat.md Authoring Guide
This skill covers the syntax, structure rules, and conventions for writing `lat.md/` files. Load it whenever you need to create or edit sections in the `lat.md/` directory.
flutter-architecture-expert
Architecture guidance for Flutter apps using the flutter_it construction set (get_it, watch_it, command_it, listen_it). Covers Pragmatic Flutter Architecture (PFA) with Services/Managers/Views, feature-based project structure, manager pattern, proxy pattern with optimistic updates and override fields, DataRepository with reference counting, scoped services, widget granularity, testing, and best practices. Use when designing app architecture, structuring Flutter projects, implementing managers or proxies, or planning feature organization.
Analysis Methodology
A systematic approach to converting unknowns to knowns through structured investigation.
agent-handoff-planning
Structure a clean handoff between workflow agents with explicit outputs, open questions, and next-owner guidance.
learning-goal
Guide the learner through a structured goal-setting exercise grounded in research on Mental Contrasting with Implementation Intentions (MCII). The exercise helps developers set concrete learning goals, visualize meaningful outcomes, anticipate realistic obstacles, and build if-then plans to overcome them.
Android Reverse Engineering
Decompile Android APK, XAPK, JAR, and AAR files using jadx and Fernflower/Vineflower, trace call flows through application code and libraries, produce structured documentation of extracted APIs, and escalate to runtime analysis only after static triage shows that it is needed. Two decompiler engines
loro
Comprehensive guide for using Loro across document modeling, synchronization, versioning, rich text editors, app-state mirroring, performance tradeoffs, and wasm bindings. Use when Codex needs to work with `loro-crdt`, `loro`, `loro-prosemirror`, `loro-mirror`, or `crates/loro-wasm` for: (1) Choosing CRDT container types and document structure, (2) Designing sync, persistence, checkout, or history workflows, (3) Integrating rich-text editors and stable selections, (4) Mirroring app state with schemas and React, (5) Reasoning about versions, events, import status, or Inspector output, or (6) Maintaining the WASM binding layer.
firestore-data
Handles NoSQL document operations and collection hierarchy exploration. Use for CRUD tasks and data retrieval. Provides flexible document manipulation and structured querying.
a3-problem-solver
A3 problem-solving and status reporting skill with structured thinking and coaching support
mental-models
Apply Charlie Munger's latticework of 98 mental models to any problem. Use when user requests decision analysis, says "help me think", "apply mental model", mentions model names (inversion, bottlenecks, second-order thinking), or needs structured thinking frameworks.
PageMap
Structured web intelligence for AI agents. 5x fewer tokens than Playwright/Firecrawl, 84.7% accuracy
intel-job-runner
Automated intelligence collection pipeline. Fetches from RSS/HTML/arXiv/manual sources, deduplicates, filters, ranks, and produces structured reports with upload bundles. Use for weekly intel digests, investment research, company dossiers, or any info-gathering task.
code-explorer
Use this skill when exploring, analyzing, or understanding project/code structure. Required for tasks like "analyze project", "explore codebase", "understand how X works".
gh-issue-bug
Generate a structured bug report for GitHub issues based on conversation context about bugs, errors, or broken functionality
Io.Github.King Of The Grackles/Reddit Research Mcp
Turn Reddit's chaos into structured insights with full citations - MCP server for Reddit research