LLM Mart Basic

Build and evaluate RAG corpora - ingest, chunk, embed, index, and spot-check retrieval quality. Use when creating knowledge bases for agents.

Listed real-estate skill for the Trading Agent OS. REITs and foncières by country. No invented listing prices.

Assemble recurring or one-off business reports - data, charts, narrative, and formatted output (PDF/DOCX/Markdown) - from multiple sources. Use for weekly/monthly reports and study deliverables.

Respond to RFPs, RFQs, tenders, and cahiers des charges - compliance matrix, requirement mapping, and structured answers. Use for formal procurement responses.

Run RiskLens on any plan, launch, product, hire, strategy, or decision. Assumes it already failed 6 months from now and works backward to find every reason why. Produces a revised plan with blind spots exposed. Use for /risklens, "run risklens", "risklens this", "what could kill

Prepare salary and package negotiation for a specific offer - market range, anchors, counters, and email drafts. Use before answering a recruiter on compensation.

Generate sales offers, quotes, and commercial proposals with pricing options and decision-ready framing. Use when a qualified prospect asks "send me something".

Orchestrate any web scraping job to delivery - static, paginated, infinite-scroll, mass crawl, sitemap, JS pages via browser. Export datasets until done.

Write scrapers with the official Scrapling 0.4.14 API (Fetcher, StealthyFetcher, DynamicFetcher, sessions, Spider templates, adaptive CSS). Default framework in the Scraping module. Fall back to the scrape tool or browser only when Scrapling is the wrong tool.

Handle secrets safely via env vars, Vault, AWS Secrets Manager, or encrypted stores - never paste keys into chat, commits, or logs. Use when configuring APIs, CI, or cloud credentials.

Hunt for leaked credentials - hardcoded API keys, tokens, private keys, passwords and connection strings in code, config, logs and git history. Use for /unmask, pre-commit secret sweeps, or "did we leak a key?" questions.

Run a full application security audit - auth flows, input validation, secrets handling, injection surfaces, dependency risks, and hardening. Use for /fortify, pre-release security reviews, or "is this safe?" questions.

Recover from tool failures and flaky commands with intelligent retries, alternate tools, and clear fallbacks. Use when exec, network, or MCP calls fail mid-task.

Write search-optimized articles that read naturally - proper structure, intent match, and internal links, without keyword stuffing. Use for blog posts, guides, and landing page copy.

Pull real SEO metrics (search volume, keyword difficulty, SERP, backlinks) from DataForSEO or Semrush when API credentials are present. Use before inventing volumes; fall back to qualitative methods when keys are missing.

Track rankings, traffic signals, technical errors, and competitor changes over time, with scheduled checks and alerts. Use to maintain SEO performance after fixes.

Audit technical SEO - indexation, sitemap, robots.txt, Core Web Vitals hints, redirects, canonical tags, and crawl errors. Use when a site underperforms in search or before a relaunch.

Run shell commands with strict limits - prefer workspace sandbox, avoid privileged ops, and quote unsafe output. Use whenever exec is required.

Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.

Audit a skill package before install or enable - permissions, network calls, credential access, obfuscation, and suspicious system commands. Use before trusting ClawHub or third-party SKILL.md files.

A green PR, a controller reporting success, and not one line of the new code running

Analyze Python async code for correctness, patterns, and potential issues.

Profile Python code for performance bottlenecks using cProfile, memory_profiler, or py-spy.

Evaluate public API surfaces against guidelines and exemplars.

Principal-level architecture assessment against ADRs and design patterns.

Systematic bug detection with language-specific expertise.

Run a detailed review that picks its dimensions from what the codebase and diff contain.

Active security hardening of the existing codebase, with a report and concrete proposals to apply.

Audit Makefiles for best practices and portability.

Intensive mathematical analysis for numerical stability and correctness.

Static-analysis hot-spot review for time and space complexity.

Analyze code quality across 6 dimensions (duplication, algorithms, clean code, architecture, errors, style) and apply fixes.

Expert-level Rust audits for safety and correctness.

Audit shell scripts for correctness, safety, and portability.

View recent skill executions with full context and error details.

Analyze skill execution metrics and identify unstable or underperforming skills.

Evaluate and upgrade test suites with TDD/BDD rigor.

Run a computer use task on the desktop via Claude's vision and action API

Stage changes, generate conventional commit message, commit, and push to current branch. One-shot git add-commit-push.

Draft a Conventional Commit message for staged changes. Analyzes diffs, classifies change type, and formats scope/body.

Create git release tags from merged PRs or version args. Pushes a v-prefixed tag to trigger the release pipeline, then confirms the run started.

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.