This repository contains Claude Email, a Tier 4 Claude Code skill for inbox management, email composition, quality review, deliverability auditing, automation sequences, and email marketing strategy. It follows the Agent Skills open standard and the 3-layer architecture (directive, orchestration, execution).
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This repository contains Claude Prompts, a Tier 4 Claude Code skill for searching, building, enhancing, and adapting AI image/video prompts. It includes 2,500+ curated prompts across 19 categories and 17 AI models. It follows the Agent Skills open standard and the 3-layer architecture (directive, orchestration, execution).
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Ultimate AI prompt database and builder with 2,500+ curated prompts across 19 categories and 17 AI models (Midjourney, Flux, Leonardo AI, DALL-E, Sora, Imagen, Mystic, Stable Diffusion, Ideogram, Adobe Firefly, and more). Search, build, enhance, and adapt prompts for image generation, video creation, text, and meta-prompt generators. Use when user says "prompt", "find a prompt", "build a prompt", "enhance my prompt", "adapt this prompt", "prompt library", "image prompt", "video prompt", "midjourney prompt", "flux prompt", or any AI prompt engineering task. Do NOT use for terminal/CLI prompts, JavaScript prompt() dialogs, user input prompts, or bash prompt customization.
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FLOW is an evidence-led SEO knowledge base designed for direct consumption by AI agents. This file configures how Claude Code and SEO-Agent interact with this repo. FLOW (Find · Leverage…
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Use FLOW as a public SEO operating system: Find the demand, Leverage the places where buyers and models learn, Optimize the assets that can be extracted and trusted, and Win…
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FLOW is a connected operating model for SEO across classic organic results, AI Overviews and LLM citations, local search and Google Business Profile, off-site corroboration, and conversion measurement. Every claim…
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This repository provides opt-in Windows PowerShell and Bash setup entrypoints, focused guides and optional project templates. - scripts/setup.ps1 and scripts/setup.sh own behavior. - install-extensions entrypoints delegate to setup with the same safety defaults. - Preview is default; selected installs require Apply/--apply. - Never add bulk OS upgrades, hidden installs, automatic authentication, permission bypass aliases or user-profile template writes. - Preserve existing installations. Check exit codes and postconditions. - Test with python tests/test_package.py; fake external processes and disposable storage only. Real…
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The canonical agent entrypoint is SKILL.md; this file exists for agent runtimes that load project-level AGENTS.md instructions. - Do not call this brain market-ready unless scripts/audit_brain.py --require market-ready passes. - A scaffold is not a finished brain. - Domain-specific claims require dated trustworthy sources. - Research evidence must be recorded in references/source-ledger.json. - Adapter completion must be recorded in references/adapter-manifest.json. - Preserve .raw/ as immutable source material. - Keep Obsidian wiki/, CODEX.md, dashboards, canvases, frontmatter, wikilinks, graph hygiene, and source…
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Claude-specific note: this file is persistent project context, not an enforcement layer. Release readiness is enforced by scripts/audit_brain.py and scripts/package_release.py.
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Scaffold and operate Anti-Slop Brain, a source-cited Obsidian brain for detection and repair of AI slop in prose, code, documentation, and agent output, grounded in corpus evidence rather than authorship detection. Use when the user says "anti-slop-brain", "Anti-Slop Brain", "create a detection and repair of AI slop in prose, code, documentation, and agent output, grounded in corpus evidence rather than authorship detection brain", "import sources", "synthesize plan", "render report", or wants a persistent vault-backed operating system for detection and repair of AI slop in prose, code, documentation, and agent output, grounded in corpus evidence rather than authorship detection.
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This file is the agent-readable contract for this repo. If your tooling loads AGENTS.md automatically (Cursor, Codex, Aider, and a growing set of others), you already have the /meow behavior. When the user says /meow, do not ask what they mean. Inspect your own previous response and pick the action that fits: Same signal, different meaning per context. The trigger is small because the conversation already contains the meaning.
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The canonical agent entrypoint is SKILL.md; this file exists for agent runtimes that load project-level AGENTS.md instructions. - Do not call this brain market-ready unless scripts/audit_brain.py --require market-ready passes. - A scaffold is not a finished brain. - Domain-specific claims require dated trustworthy sources. - Research evidence must be recorded in references/source-ledger.json. - Adapter completion must be recorded in references/adapter-manifest.json. - Preserve .raw/ as immutable source material. - Keep Obsidian wiki/, CODEX.md, dashboards, canvases, frontmatter, wikilinks, graph hygiene, and source…
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Claude-specific note: this file is persistent project context, not an enforcement layer. Release readiness is enforced by scripts/audit_brain.py and scripts/package_release.py. Master copy: wiki/meta/CONVENTIONS.md (restore from there if a brainstein upgrade overwrites this file). - Three layers: .raw/ immutable sources with sha256 manifest; wiki/ knowledge; this file the agent contract. Never edit anything under .raw/. - Read order for any session: wiki/hot.md, then wiki/index.md, then the relevant _index.md hub, then the note. - Every wiki page carries flat YAML frontmatter: type,…
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Scaffold and operate Fable 5 Brain, a source-cited Obsidian brain for Claude Fable 5 model and Claude Code harness ai operations and source-cited best practices. Use when the user says "fable-5-brain", "Fable 5 Brain", "create a Claude Fable 5 model and Claude Code harness ai operations and source-cited best practices brain", "import sources", "synthesize plan", "render report", or wants a persistent vault-backed operating system for Claude Fable 5 model and Claude Code harness ai operations and source-cited best practices.
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Audit, write, and update social profiles across LinkedIn, YouTube, Instagram, TikTok, and X. Covers bios, headlines, About sections, YouTube channel descriptions, links, evidence-backed positioning, and verification of approved live edits. Use for one profile or cross-platform consistency, not post or video descriptions, content calendars, account-ban investigations, or repository descriptions.
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The canonical agent entrypoint is SKILL.md; this file exists for agent runtimes that load project-level AGENTS.md instructions. - Do not call this brain market-ready unless scripts/audit_brain.py --require market-ready passes. -…
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Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md or AGENTS.md?
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
What is a skill?
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Can I search my own team's files too?
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.