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

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.

Secular technology trends analysis — technology adoption cycles, disruption risk, strategic positioning

Turnaround vs stagnation analysis — performance inflection detection, operational metrics, leadership impact

Valuation methods analysis — multiples, DCF inputs, PEG integration, valuation assumption extraction

Porter-style competitive positioning analysis — strategic group mapping, differentiation analysis

Peer benchmarking — multi-ticker financial comparison, growth/value matrix, z-score ranking

Sector overview — TAM estimation, competitive concentration (HHI), regulatory landscape

Supply-chain map — supplier/customer dependency, geographic concentration, bottleneck identification

Currency Analysis — macro strategy analysis

Macro Regime — macro strategy analysis

Rate Cycle — macro strategy analysis

3-statement integrated financial model — IS/BS/CFS triangulation, 5 historical + 5 forecast years

Audit an Excel workbook — formula errors, hardcoded cells, calculation arc cross-validation

Trading comps analysis — peer-group selection, trading-multiple triangulation, implied-valuation range

DCF valuation model — 5-10 year projection, WACC construction, sensitivity tables

Earnings preview presentation — 4-6 slide deck with consensus estimates, historical surprises, forward catalysts

LBO model — sources & uses, debt schedule, exit-multiple analysis, sponsor IRR sensitivity

Investment thesis pitch deck — 12-16 slide presentation with sourced footers

Sum-of-the-parts valuation — segment-level multiples, conglomerate discount analysis

XBRL-to-Excel — proper number formatting, frozen headers, named ranges, calculation arc cross-validation

Income Strategies — options and derivatives analysis

PiG (Pi in Go) is a faithful Go port of upstream Pi, the TypeScript codebase behind the Pi coding agent. It is a parity-bound translation, not a rewrite: upstre…

An AI Agent that lives in your pocket. Local-first and privacy focused.

Unofficial skill that teaches coding agents to build with TypeSafe AI's Jev: typed decisions, calibrated confidence, and prior art from 150+ community projects.

Adaptive Test-time Learning and Autonomous Specialization

Prediction-market trading engine — Wang Transform pricing on 291K+ contracts; paper-traded across Kalshi · Polymarket · Solana DFlow (Jito bundles) · 633 tests

Knowledge Management for Humans and Agents

Open-source Claude Cowork / Codex / WorkBuddy alternative — a local-first AI office agent that turns one request into real PPTX, DOCX, XLSX and HTML files. Runs…

DeepAgent Code: AI coding agent with persistent memory and control plane

Awesome Jev — evidence-graded index of TypeSafe System One: SDKs, MCP tools, agents, apps and open models. 20 languages, rebuilt every 2 hours.

CLI for Telegram — agent-friendly, daemon-based, with webhook event push.

AI deep-research agent that turns any question into a cited report: plans searches, reads real sources, verifies evidence. Self-hosted, multi-provider, Docker-r…

Event-stream AI Agent framework for building your persona bot 🍊

Give the agent a machine. Just not yours. Each AI coding agent gets its own isolated machine with root, Docker, and systemd - active defense detects and stops t…

Local Emperor-style AI agent with Vue WebUI, multi-provider LLMs, streaming chat, tools, skills, memory, and token telemetry.

Open-source AI reverse-engineering agent platform and MCP server for Ghidra, Frida, x64dbg and Rizin — automated PE/APK/binary analysis, CTF and malware researc…

"Never send a human to do a machine's job" - Open Source AI hacking agent

Prismer Cloud

My Personal Blog (Robotics)

Tau Coding Agent - like Pi, but twice as much

Open-source alternative to OpenAI Dots: self-hosted AI chat, tools, approvals, connectors, and computer tasks.