LLM Mart Basic
@llm-mart · Joined Jun 2026
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
WCAG 2.2 accessibility expertise — auto-activates on designer tasks to flag violations before handoff
Brand voice and visual identity expertise — auto-activates on designer tasks to resist generic AI defaults
Medical nutrition therapy, macronutrient calculations, lab interpretation, dietary guidelines, and condition-specific protocols
Client education, meal planning communication, behavior change counseling, and motivational strategies
Carbon accounting expertise — auto-activates on Scope 1/2/3 calculation and GHG inventory tasks
Regulatory standard mapping expertise — auto-activates on ESG framework alignment and disclosure mapping tasks
Proposal writing, expectation management, change communication, and post-event reporting
Event concept development, logistics planning, vendor coordination, budget management, and timeline creation
Professional communication, email management, stakeholder coordination, follow-up systems
Executive operations, calendar management, travel coordination, expense workflows
Client advisory communication with fiduciary tone, compliance-friendly language, and plain-language financial education
Financial planning knowledge for retirement, education, estate, tax, and insurance needs analysis
Regulatory change monitor — current SEC, FINRA, IRS landscape with effective dates; flags advice impacted by recent changes
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.
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.
/setup
Setup
credo - Set up Claude Code with recommended workflows and plugins
/cleanup
Cleanup
dogma - Find and fix AI-typical patterns in code (reactive cleanup)
/docs-update
Docs update
dogma - Sync documentation across README files and wiki articles
/force
Force
dogma - Interactively collect and apply CLAUDE rules to the project
/ignore
Ignore
dogma - Add ignore patterns to multiple locations at once
/lint
Lint
dogma - Run project-specific linting and formatting on staged files (non-interactive)
/permissions
Permissions
dogma - Create or update DOGMA-PERMISSIONS.md interactively (Git, File, and Workflow permissions)
/sanitize-git
Sanitize git
dogma - Sanitize git history from Claude/AI traces and fix tracking issues
/sync
Sync
dogma - Intelligently sync Claude instructions from a source to the current project with interactive review
/versioning
Versioning
dogma - Check and fix version mismatches across all version files
/setup
gsd:setup
Install GSD resources into the active Claude config dir (${CLAUDE_CONFIG_DIR:-$HOME/.claude}/get-shit-done/) (required before using other GSD commands)
/uninstall
gsd:uninstall
Remove GSD resources from the active Claude config dir (${CLAUDE_CONFIG_DIR:-$HOME/.claude})
/cleanup
Cleanup
hydra - Remove already merged worktrees and their branches
/create
Create
hydra - Create a new Git worktree for isolated work
/delete
Delete
hydra - Safely remove a Git worktree
/help
Help
hydra - Show available commands and explain the concept
/list
List
hydra - List all Git worktrees of the repository
/merge
Merge
hydra - Merge a worktree branch back into current branch
/parallel
Parallel
hydra - Start multiple agents in parallel across worktrees
/spawn
Spawn
hydra - Start an agent in an existing worktree
Build AI Agents like playing LEGOs. Everything is a Plugin.
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12 views 0 likesruns anywhere. uses anything
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3 views 0 likesClaude Code & Codex 本地 token 追踪 — 状态栏(Codex 业界首创伪 statusline)、GitHub 风格热力图、多模型成本分析。 | Local token tracker for Claude Code & Codex — status line (industry-first…
12 views 0 likesEmpower the Shell to think. Evolve Operations.
5 views 0 likes🤖 A full-stack Agent Chat Runtime for pre-production validation, built with act, TypeScript, and LangGraph JS combining streaming, multimodal, HITL, and tools…
14 views 0 likesCerul — video memory infrastructure for AI products. SDKs, CLI, MCP, and developer integrations.
17 views 0 likesStealth headless browser for AI agents — bypass Cloudflare, bot detection, and anti-scraping. Drop-in Puppeteer/Playwright replacement.
6 views 0 likesWeb research for your agents with smart and safe tooling + knowledge store
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