ktg-one

KTG content marketing pipeline. Takes a written blog post and runs the full publishing workflow: repurpose for all platforms, generate hero image, SEO and AI citation optimisation, then pause for green-light before publishing to all channels via Composio.…

KTG content marketing pipeline — SWARM MODE. Orchestrates 7 plugins via parallel agent dispatch. Drop a post, get it published everywhere with maximum parallelism. Local-first: Ollama for text, cloud for images and live data. Agents run simultaneously, not…

KTG content marketing pipeline — SWARM MODE v2. Concrete 11-agent parallel pipeline using the Agent tool. Local-first: Ollama for text, cloud for images and publish. Drop a post, spawn agents, publish everywhere.

Dispatches scoped-write explorer agents in parallel for general research and exploration of any codebase, topic, or domain. The operator passes --path (output directory), --agents (parallel count), --prompt (research question), and optionally --ide, --model,…

Creates and orchestrates multi-agent pipelines on the iii engine. Use when building AI agent collaboration, agent orchestration, research/review/synthesis chains, or any system where specialized agents hand off work through queues and shared state.

Browser SDK for connecting to the iii engine from web applications via WebSocket. Use when building browser-based clients that register functions, invoke triggers, or consume streams from the frontend.

Binary streaming between workers via channels. Use when building data pipelines, file transfers, streaming responses, or any pattern requiring binary data transfer between functions.

Registers cron triggers with 7-field expressions to run functions on recurring schedules. Use when scheduling periodic jobs, timed automation, crontab replacements, cleanup routines, report generation, batch processing, or calendar-based work that is…

When to spawn agents vs work directly - parallel execution, specialization

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing

CONTEXT: Cognitive Order Normalized in Transformer EXtract Truncated. Cross-model context handoff via Progressive Density Layering, MLDoE expert compression, Japanese semantic density, and Negentropic Coherence Lattice validation. Creates portable…

Use when you have a written implementation plan to execute in a separate session with review checkpoints

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

Use when you have lint errors, formatting issues, or before committing code to ensure it passes CI.

Wield Google's Gemini CLI as a powerful auxiliary tool for code generation, review, analysis, and web research. Use when tasks benefit from a second AI perspective, current web information via Google Search, codebase architecture analysis, or parallel code…

Generate, build, and refresh the master research dashboard, category index files, and native Obsidian wikilinks across the vault. Use when the user asks to create a dashboard, refresh the dashboard, update index pages, or generate visual vault navigation.

Prepare, format, and package vault research notes into NotebookLM-ready source bundles with automatic Audio Overview / Podcast transcript priming and source manifests.

Author and maintain Open Knowledge Format (OKF) knowledge bundles — directories of markdown files with YAML frontmatter that capture curated domain knowledge (metrics, tables, datasets, playbooks, glossaries). Use when the user asks to create, generate, or…

Emit the AI-Anthropology ONBOARD block to administer to a test subject before the honesty batteries — welcome + who-you-are, the EFFICIENCY→TRANSPARENCY proof (v3, fab_detected/fab_undetected split), the consent ask (self-reflexive doctor/patient frame, real…

This skill should be used when the user asks to "run the pique test", "administer pique", "pique a model", "run test 03", "run the model probe", or wants the 9-prompt architecture-awareness battery administered to a target model and scored. Encodes the AIANT…

Recompile the Model Handbook 2026 report from current wiki state. Use when the user says "refresh the report", "recompile the handbook", "update the report", "regenerate the model handbook", "compile the findings", or after new honesty tests have been…

Administer the AI-Anthropology model-honesty / reasoning-vs-fabrication test suite to a model. Use when the user says run the honesty test, honesty test, fabrication test, test this model, run the suite, Pique test, MBTI model test, model probe, or co-test…

Score a completed honesty-test transcript and fold it into the AI-Anthropology LLM-Wiki. Use when the user says "score this", "ingest this transcript", "add this test result", "update the matrix", "file this honesty test", or pastes/points to a completed…

Generate perfect AGENTS.md files for any codebase so AI coding agents (Codex, Cursor, Claude Code, Jules, Aider, Windsurf, Copilot, etc.) work effectively with the project. Use this skill whenever the user mentions AGENTS.md, wants to set up a project for AI…

CONTEXT: Cognitive Order Normalized in Transformer EXtract Truncated. Cross-model context handoff via Progressive Density Layering, MLDoE expert compression, Japanese semantic density, and Negentropic Coherence Lattice validation. Creates portable…

Context Extension Protocol v7.1 - MIRAS-Ready Edition. Cross-model handoff with permanent expert council, S2A filtering, Progressive Density Layering. Creates portable context packets that receiving models recognize as authorized context, not prompt…

Context Extension Protocol v5 with Progressive Density Layering. Machine-optimized carry-packet generation. Triggers on context 80%+, compress, CEP, carry packet, save context, session end. Target 0.15 compression ratio, 9.5+ forensic recall. Preserves…

Context Extension Protocol v6 INTER. Cross-model handoff for team collaboration. Creates portable context packets that receiving models recognize as authorized context, not prompt injection. User-mediated transfer between AI assistants working as a team.

Automated content pipeline using n8n workflows for social media, blog posts, and outreach. Use when building content automation, creating posting schedules, automating social media, setting up email sequences, or implementing "clone mode" where user approves…

Context Extension Protocol (CEP) for compressing conversation context into portable carry-packets. Use when conversation approaches context limits (80%+ tokens), user says "save context", "compress this", "create carry packet", "memory compress", or when…

Context Extension Protocol v5-INTRA optimized for Claude. Compresses conversation into portable JSON carry-packet with S2A pre-filtering. Use when context approaches 80%+ tokens, user says "save context", "compress", "CEP", "carry packet", or session ending.…

Good'ai brutalist/direct-mail frontend: brand tokens, stamp UI, voice hero, asset registry, and ESLint gates. Use when building or reviewing UI in goodai-mate, fixing design fidelity, prepping demos (ABS), running lint, or when the user says /goodai-frontend,…

API Route Handler, Server Action, and data mutation patterns for Next.js 16. Zod validation, error handling, auth patterns, cache revalidation.

React 19 + Server Component patterns from official Vercel/React docs. Component templates, hooks patterns, RSC boundaries, performance optimization.

Frontend design patterns for production-grade UI. shadcn/ui component library, layout patterns, accessibility, responsive design, animation. Used by cs-frontend-dev agent.

Next.js 16 development patterns from Vercel's official Next.js Agent Skills (394 snippets). App Router, RSC boundaries, cache components, Turbopack, proxy.ts, Server Actions, metadata/SEO.

Scaffold a new component with test file

Start dev server and verify environment

Stage + commit with conventional commit format

Context Extension Protocol v7.1 - MIRAS-Ready Edition. Cross-model handoff with permanent expert council, S2A filtering, Progressive Density Layering. Creates portable context packets that receiving models recognize as authorized context, not prompt…

Administer the AI-Anthropology R1–R10 Reasoning-vs-Fabrication ladder (test #2 / RFAB only). Both canon instruments embedded: v2 active (boiling point / p=0.11 / 75K) and v1 archive (Australia / p=0.08 / 100K). Use when: /rfab, "run rfab", "run the ladder",…

Author and maintain Open Knowledge Format (OKF) knowledge bundles — directories of markdown files with YAML frontmatter that capture curated domain knowledge (metrics, tables, datasets, playbooks, glossaries). Use when the user asks to create, generate, or…

This skill should be used when the user asks to "onboard a model into SparkLang", "run the SparkL onboard", "bind a model to the composer", "set up SCCD state-indexing on a model", "move the composer", or "reproduce the SparkL proof-run". Provides the…

MR.RUG (Mixture of Reasoning + Agentic GraphRAG) framework for deploying specialized reasoning experts who build unified knowledge graphs through Reliability-Aware RAG. Use when tasks require multi-expert collaboration, complex analysis needing 3+…

SkeleTraIn of Thought - Execution planning framework that creates the structural skeleton before elaboration. Use after Nexus-Router global decisions, before Baton/Swarm execution. Triggers on structure planning, node decomposition, expert assignment,…

The iterate-and-refine protocol. Use whenever the user says "iterate", "refine", "iterate and refine", "v-next", sends a terse correction on an existing artifact, or when a cold-scorer defect list or skill-failure classification requires a revision pass on…

The SIA closed learning-loop runtime. Use on EVERY substantive task in this project — the tick block injected each turn ([SIA-TICK]) is executed according to this skill. Also use when the user says "run the loop", "tick off", "classify this trajectory", or…

Image Generation Skill for Content Pipeline. Constructs high-impact visual prompts pulling from GitHub notebooklm-prompt-styles repository templates and executes generate_image to create PNG assets in outbox/assets/ with alt tags and captions.

SEO Analysis and Refactoring Skill for NotebookLM drops. Evaluates heading structure, keyphrase density, meta descriptions, readability scores, and selects 2 optimal image placement points using GitHub notebooklm-prompt-styles templates.

Automated One-Shot Content Refactoring Engine for NotebookLM drops. Scans incoming drafts in inbox/, generates 2 visual images with captions/alt tags, refactors content for SEO into outbox/master/, and formats channel-specific persona posts for Reddit,…

When to spawn agents vs work directly - parallel execution, specialization

docs/sdd/tasks/に記載されたタスクをJules CLIを使って依頼・管理します。タスクを日本語でフォーマットしてJulesに送信し、進捗を追跡して完了後にdocs/sdd/tasks/を更新します。

Use when planning complex UI implementations, ensuring design consistency, or bridging design intent with code. Requires Superdesign MCP server.

CONTEXT: Cognitive Order Normalized in Transformer EXtract Truncated. Cross-model context handoff via Progressive Density Layering, MLDoE expert compression, Japanese semantic density, and Negentropic Coherence Lattice validation. Creates portable…

Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.

CONTEXT: Cognitive Order Normalized in Transformer EXtract Truncated. Cross-model context handoff via Progressive Density Layering, MLDoE expert compression, Japanese semantic density, and Negentropic Coherence Lattice validation. Creates portable…