LLM Mart Basic

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

General-purpose content production - articles, reports, social posts, newsletters, product descriptions, and docs - with channel adaptation and quality control. Use as the entry point for "write me content" requests.

Turn one long-form piece into LinkedIn posts, X threads, Instagram carousels, TikTok scripts, and emails. Use to multiply reach from existing content.

Fourteen posts of being wrong in production, compressed to checkboxes

Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds

Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.

Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.

A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.

A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.

None of the safety came from the model. It came from six boring habits.

Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.

Six hours in, one step left, everything green, and the incident that didn't happen

CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.

Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it

An API request routing a model's tool call through an approval gate to a remote MCP server

31 config keys, two audits, and why the first one was wrong in both directions

The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.

Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.

Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.

"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks

stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.

The most important rule wasn't about what I could change. It was about what I was allowed to display.

Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.

Improve an existing agent through performance baselines, prompt engineering, A/B testing, and staged rollout

Optimize multi-agent system performance through profiling, context window tuning, coordination efficiency, and cost and latency tradeoffs

Debug issues using competing hypotheses with parallel investigation by multiple agents

Task delegation dashboard for managing team workload, assignments, and rebalancing

Develop features in parallel with multiple agents using file ownership boundaries and dependency management

Launch a multi-reviewer parallel code review with specialized review dimensions

Gracefully shut down an agent team, collect final results, and clean up resources

Spawn an agent team using presets (review, debug, feature, fullstack, research, security, migration) or custom composition

Display team members, task status, and progress for an active agent team

Build realistic API mock servers with request stubbing, dynamic data, test scenarios, and contract testing

Orchestrate end-to-end application performance optimization from profiling to monitoring

Orchestrate end-to-end feature development from requirements to deployment

Set up PreToolUse hook to block --no-verify and other git bypass flags in Claude Code projects

Generate comprehensive C4 architecture documentation (Context, Container, Component, Code) for a codebase using bottom-up analysis and four coordinated C4 agents.

Automate CI/CD pipelines, releases, and development workflows with GitHub Actions, pre-commit hooks, and infrastructure automation

Explain complex code, algorithms, and design patterns with step-by-step breakdowns, visual diagrams, and interactive examples

Generate API, architecture, code, and user documentation from a codebase and automate keeping it current

Restore saved project context and decisions to resume a session

Refactor provided code for cleanliness, maintainability, and alignment with SOLID principles and modern best practices — no over-engineering.

Analyze and remediate technical debt — inventory debt items, score by impact, and produce a prioritized remediation plan with estimated effort.

AI coding platform for teams

AI Multi-Agent Framework in .NET

Production-ready code examples for Telnyx AI Communications Infrastructure — Voice AI, SMS, SIP, and IoT APIs

UltraGameStudio - AI coding agent for game development: engine workflows, gameplay code, and asset generation.

🦞 ResearchClawBench: Evaluating AI Agents for Automated Research from Re-Discovery to New-Discovery

The context-aware model router that learns & adapts to your long-horizon coding agent workflows. Lightweight & extensible, works with any harnesses, any models,…

Open-source sandboxes where coding agents build and deploy. Spin up isolated environments where Claude Code, Cursor, and other agents code and deploy software.

Native desktop UI for Claude Code with orchestration, streaming, background agents, and multi-provider support. Built with Tauri + React.

OpenCode mobile client via Telegram: run and monitor AI coding tasks from your phone while everything runs locally on your machine. Scheduled tasks support.

Terminal session manager for AI coding agents. One TUI for Claude, Gemini, OpenCode, Codex, and more.

Exposes internet search tools for use by LLM-backed Assist in Home Assistant

Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs

Versus Incident is the self-hosted AI SRE agent. It learns what your system normally look like and escalates only what is new or unexpected issues — routing to…

Browser-native side panel for Hermes Agent — connect web context to your local Hermes runtime.

Agentic-friendly CLI generator for APIs: turn Swagger, OpenAPI, and google.api.http protos into single-binary CLIs with catalogs and generated Skills.

Open-source agent platform for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.

Official python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, without extra middleware.

An agent small enough to run anywhere. A minimal agentic runtime in C — ~380 lines, 54KB binary, ~2MB RAM. A skill file + an LLM + a shell loop, no framework.

AgentiLoop Agent! An Autonomous Agentic Agent for Mac, and exclusive Apple only harnesss. Suppprtd automation, scripting, coding, build anything and more. Power…

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