LLM Mart Basic

Current AI regulatory landscape — EU AI Act, FINRA, FDA, US state AI laws — and client-system exposure mapping

Plain-language legal explanations, client-facing correspondence, and privilege-boundary awareness

Civil litigation, contract law, legal research methodology, rules of professional conduct, and legal citation format

Civil litigation workflow expertise — case management, deposition prep, evidence chain, and Federal Rules of Evidence

Financial statement preparation, analysis, and plain-language explanation for small business owners

Tax preparation client communication, deadline management, and entity-specific requirements

Chiropractic clinical expertise including musculoskeletal assessment, spinal biomechanics, diagnostic imaging, and evidence-based guidelines

Chiropractic practice marketing, patient communication, content strategy, and healthcare advertising compliance

Community health monitoring expertise — auto-activates on engagement, retention, and churn-prediction tasks

Moderation audit trail expertise — auto-activates on compliance logging and escalation documentation tasks

Estimating, scheduling, building codes, safety protocols, permitting, and project controls

Owner reports, subcontractor coordination, RFI responses, and meeting documentation

License display, lien rights, permits and code, insurance certificates, and no-guarantee language for contractor communications

Construction estimating, scope definition, and change-order structure for remodelers and trades

Brand voice extraction expertise — auto-activates on copywriting tasks to capture and replicate client tone

Persuasion and conversion expertise — auto-activates on copywriting tasks to apply evidence-based behavioral principles

Dataset profiling expertise — auto-scans for missing values, outliers, class imbalance, correlation issues, and schema drift

Model card generation expertise — auto-generates Model Cards covering intended use, limitations, and training data provenance per the HuggingFace and Mitchell et al. standard

Clinical dental hygiene expertise including periodontal assessment, AAP classification, CDT coding, and dental pharmacology

Patient communication about oral health using motivational interviewing, age-appropriate education, and culturally sensitive messaging

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.

Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.

Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.

An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.

Scaffold a complete OAuth2 callback + init Hono route pair (code exchange, PKCE, KV token storage) for a named provider

Scaffold an Amazon-style working-backwards press release for any feature, in Brian's voice. Outputs to docs/decisions/PR-{slug}.md and prints to stdout.

Vendor a third-party skill repo/URL into the owned layer — clone, compress to house style, cross-link, commit — in one keystroke

Batch-forge Brian's entire stack as skills + MCP servers in one prompt; skips already-forged entries; applies automatic pruning when tool count >100

Scaffold a complete webhook handler (Hono route + sig verification + D1 idempotency + R2 dead-letter) for a named vendor

Scaffold a complete webhook receiver for any provider from an AsyncAPI YAML spec or a JSON event-type list

Generate a Project Requirements Plan (PRP) — research-driven, ULTRATHINK-gated, confidence-scored implementation blueprint

Run the AI-augmented lint self-improvement loop on the current project. Scans `.lint-history/` for recurring violation patterns (≥3 hits in 30d window), drafts a Claude-ready prompt to author a new semgrep rule for the top candidate, and surfaces the proposal under `.lint-history/proposals/<ts>.md`. Non-blocking analysis. See rules/lint-doctrine.md § Self-improving.

Bootstrap industry-leading lint+autofix+commit-hygiene stack on the current project. Drops in lefthook, oxlint, ESLint, Prettier, Stylelint, markdownlint, ruff, shellcheck, shfmt, yamllint, hadolint, actionlint, jscpd, knip, semgrep, gitleaks, commitizen + git-cz-emoji (emoji-mandatory commits), and semantic-release. Idempotent — re-runs upgrade safely. See rules/lint-doctrine.md.

Surface all retrospective documents with key shape metrics; compare arcs deliberately.

Batch-migrate every hardened MCP server in mcp-servers/ from its original source to its hardened counterpart in one sweep

Generic skill-version migration — works for hardened/v2/experimental→stable promotions across MCP servers, skills, hooks, commands. Mirrors /migrate-to-hardened with broader detection.

Automate the unhardened → hardened MCP server cutover — build, smoke-test, register, and archive in one shot

Progressive multimedia enrichment pass — add high-value audio/video/image/interactive to a site, run again and again

Run the autonomous-engineering operating loop on a task (plan→implement→verify→repair→report)

Capture the cumulative output of a /loop arc into a single auditable retrospective document; scans the heymegabyte-claude-skills plugin for modified files, categorizes by directory, counts LOC delta, extracts tool counts from MCP servers, and writes a timestamped report to retrospectives/

Turn a comma-separated list of file paths into a fully structured Pattern A agent brief — ordered writes, per-file schemas, and a verification step baked in.

Turn Pattern B from agent-resilience-discipline into a one-keystroke agent brief for a single-file deliverable < 300 lines.

Chain the full Superpowers process flow — brainstorm → plan → worktree → build → review → finish — on one slash command

Reduce a forge-generated MCP server's tool surface. Comment out low-value tools (preserving reversibility), update the README tool count, and emit a pruning report.

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.