LLM Mart Basic

Identify realistic link opportunities - partners, guest posts, directories, digital PR, and linkable assets. Use to build authority for a domain.

Snapshot configs, memory, and skills before risky edits, and define a rollback path. Use before bulk refactors, migrations, or skill/config changes.

Produce structured, documented, readable long-form articles - tutorials, opinion pieces, industry analyses. Use for editorial content beyond pure SEO pieces.

Define, store, and enforce brand voice across all content - vocabulary, tone, do/don't lists per brand. Use to keep multi-brand output consistent.

Detect and score buying signals - funding, hiring, tech changes, leadership moves, expansion, regulation. Use to prioritize which accounts to contact now and with what angle.

Plan and run multichannel campaigns with an editorial calendar, asset tracking, and post-mortems. Use for any coordinated marketing push across channels.

Recommend career moves, skill investments, and trajectory options based on profile, market demand, and goals. Use for career decisions and development plans.

Run the Navin Career desk for freelance missions and permanent jobs. Search authorized sources, score matches, tailor a CV from the Master CV, import pasted LinkedIn offers, track inbox and follow-ups. Use for /career, Freelance, Jobs, TJM, candidatures.

Turn client projects into commercial case studies - problem, solution, results, and metrics. Use to build sales proof from delivered work.

Work with GitHub Actions, GitLab CI, and deployment pipelines - inspect runs, fix workflows, and gate releases. Use gh when available for Actions.

Search and install agent skills from ClawHub, the public skill registry.

Operate AWS with the aws CLI - EC2, EKS, S3, IAM, VPC, RDS, Lambda, costs. Read-first; mutations gated by approval.

Operate Microsoft Azure with the az CLI - VMs, AKS, storage, networking, ARM resources, costs. Read-first; mutations gated by approval.

Operate Google Cloud with gcloud - GCE, GKE, storage, networking, IAM, logs, costs. Read-first; mutations gated by approval.

Review code changes for bugs, security issues, regressions, and maintainability. Use on diffs, PRs, or before merge - pairs with gh CLI and code_review tool when available.

Write personalized cold emails that earn replies - research-based hooks, clear relevance, low-friction asks. Use for outbound prospecting messages.

Monitor competitors' offers, pricing, campaigns, hiring, and positioning changes over time. Use for ongoing competitive awareness, not one-shot analysis.

Analyze competitors' keywords, top pages, content structure, and backlink signals to find gaps. Use before content planning or when a competitor outranks the user.

Map the codebase and controls against security standards - OWASP ASVS, CIS Benchmarks, SOC 2, ISO 27001, PCI-DSS - producing a gap analysis with evidence and remediation. Use for /comply, audit prep, or "are we compliant with X?" questions.

Desktop control - see the real screen, click, type, press shortcuts, scroll, drag and drive any native application (Windows / macOS / Linux X11 and Wayland) with the built-in `computer` tool. Use for anything a browser tab cannot reach (Office, IDEs, installers, system dialogs, l

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.