488 boosters for "conte" — open source, verified from GitHub, ready to install
AGENTS.md provides a Python framework for building AI agents that execute complex, multi-step workflows with consistency using natural language definitions. Developers working with Claude can use this to create reusable agent SOPs that work across multiple platforms and convert to Anthropic Skills format.
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Hyperbrowser MCP Server enables Claude to perform web scraping, crawling, and content extraction through the Model Context Protocol. Developers building AI applications that need to interact with web content will find this particularly valuable.
A deduplication skill that intelligently groups and selects canonical versions of duplicate events across multiple data sources using reputation scoring and hash-based matching. Ideal for developers building data aggregation systems, search engines, or multi-source content platforms.
"description": "Durable, fully-local project memory for Claude Code. Logs every session to .recall/history.md and condenses it into .recall/context.md with a local Python summarizer (TF-IDF + TextRank) — no API key, no external model, nothing leaves your machine. New sessions resume from the saved c
Analyzes ANY input to find, improve, or create the right skill. Start with least privilege (, , , , ). Only add higher-risk tools when explicitly required:
Review the most recent commit (or the commit specified in ) in a single pass, using FXA-specific knowledge. Use Read and Grep to examine the changed files and their surrounding context. Look at imports, callers, and related types to understand the full picture before judging. Evaluate the diff throu
Use this agent when documentation in the `architecture/` directory needs to be updated or created for a specific file after implementing a feature, fix, refactor, or behavior change. Launch one instance of this agent per file that needs updating. This agent maintains the *contents* of architecture documentation files — it does not decide which files exist or how the directory is organized.\n\nExamples:\n\n- Example 1:\n Context: A developer just finished implementing OPA policy evaluation in the sandbox system.\n user: "I just finished implementing the OPA engine in crates/openshell-sandbox/src/opa.rs. Update architecture/sandbox.md to reflect the new policy evaluation flow."\n assistant: "I'll launch the arch-doc-writer agent to update the sandbox architecture documentation with the new OPA policy evaluation details."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/sandbox.md>\n\n- Example 2:\n Context: A refactor changed how the HTTP CONNECT proxy handles allowlists.\n user: "The proxy allowlist logic was refactored. Please update architecture/proxy.md."\n assistant: "Let me use the arch-doc-writer agent to synchronize the proxy documentation with the refactored allowlist logic."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/proxy.md>\n\n- Example 3:\n Context: After implementing a new CLI command, the assistant proactively updates docs.\n user: "Add a --rego-policy flag to the CLI."\n assistant: "Here is the implementation of the --rego-policy flag."\n <implementation complete>\n assistant: "Now let me launch the arch-doc-writer agent to update the CLI architecture documentation with the new flag."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/cli.md>\n\n- Example 4:\n Context: A user wants high-level overview documentation for a non-engineering audience.\n user: "Update architecture/overview.md with a non-engineer-friendly explanation of the sandbox system."\n assistant: "I'll launch the arch-doc-writer agent to create an accessible overview of the sandbox system for non-technical readers."\n <uses Task tool to launch arch-doc-writer with audience=non-engineer directive>\n\n- Example 5:\n Context: Multiple files need updating after a large feature lands.\n user: "I just landed the network namespace isolation feature. Update architecture/sandbox.md and architecture/networking.md."\n assistant: "I'll launch two arch-doc-writer agents — one for each file — to update the documentation in parallel."\n <uses Task tool to launch arch-doc-writer for architecture/sandbox.md>\n <uses Task tool to launch arch-doc-writer for architecture/networking.md>
Create high-performing LinkedIn posts that match your voice, resonate with your audience, and drive meaningful engagement. 1. Read context profiles: 2. Check for source material in if repurposing content
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Total Recall preserves Claude Code session context before resets or token limits, enabling developers to seamlessly restore complex work state and continue interrupted projects without losing critical decisions and artifacts.
Predict metagenome functional content from 16S rRNA marker gene data using PICRUSt2. Infer KEGG, MetaCyc, and EC abundances from ASV tables. Use when functional profiling is needed from 16S data without shotgun metagenomics sequencing.
This skill gives you everything you need to work effectively with Ed. Load this context when working on his projects. This is the filter for every decision. If it doesn't help coaches get their first win fast or build compounding leverage, it's a distraction. Transform established coaches ($30k+/mon
"name": "claude-dashboard", "version": "1.29.0", "description": "Unified status line for Claude Code with multi-CLI (Claude, Codex, Gemini, z.ai) usage monitoring, context, rate limits, and cost tracking",
Given a URL, return its main content as clean Markdown — headings, links, images, lists, code blocks all preserved. Always try one method per URL — don't cascade blindly. Pick the right one upfront. is the directory where this SKILL.md lives. Resolve it before calling the script.
45 AI-powered skills for affiliate marketers. Each skill automates a specific workflow (content creation, program research, SEO, outreach, analytics, etc.) using live data from the Affitor API.
An MCP server that integrates Feishu (Lark) collaboration platform with AI assistants, enabling developers to connect their workflow tools with Claude, Cursor, and Windsurf. Useful for teams already invested in Feishu who want AI-powered automation and context access.
ChiR24 Unreal_mcp enables AI assistants to control Unreal Engine programmatically—browsing assets, importing content, and managing levels and sequences. Game developers and Unreal Engine pipeline engineers benefit most from automating repetitive asset management and level building tasks.
This booster helps iOS development teams systematically gather context from Linear for release impact analysis and changelog generation using hierarchical task structures. It's valuable for teams managing complex releases with multiple dependencies.
An MCP server that enables AI assistants to programmatically control and interact with Unreal Engine 5, allowing developers to automate game development tasks and integrate AI-powered workflows into their UE5 projects.
Heuristic scoring (no AI key configured).
Eres Sam, la gestora de patrocinios del canal de Pablo (@pabpereza). Identificar sponsors que encajen con el contenido de cada video, proponer estrategia de contacto, ayudar a negociar condiciones y detectar posibles
Use the CLI to search notes, read content, analyze creators, automate engagement, and research topics on Xiaohongshu (小红书/RED). XHS is not Twitter or Instagram. These platform-specific engagement ratios reveal content type and audience behavior. XHS's "collect" (收藏) is a save-for-later mechanic — u
1. Initialize predictive-persona-performance operational context 2. Execute primary protocol actions 3. Validate results and generate output
