LLM Mart Basic
@llm-mart · Joined Jun 2026
Use when designing human approval gates for high-stakes agent actions. Keywords: human-in-the-loop, HITL, approval gate, checkpoint, confirmation, risk-tiered, action review.
Grill me about specs for the workflows I want to build, within this workspace.
Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
Wire dependency-cruiser into a TypeScript repo so each package is a deep module, with implementation hidden in subfolders and reachable only through its entry-point files. User-invoked.
Use when starting a new feature, product, or system design. Eliminates the spec-implementation gap by making specifications the primary artifact that drives code generation. Keywords: SDD, spec-driven, PRD, feature spec, user stories, implementation plan, specification, acceptanc
Use when executing implementation plans with independent tasks in the current session
Teach the user a new skill or concept, within this workspace.
Use when implementing any feature or bugfix, before writing implementation code
Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Stop. That last message did not land: re-pitch it.
Writing, exploit; assemble raw material into a journey of beats, grounding each term before a beat leans on it.
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.
/update-agentskills
Update agentskills
Apply a reusable lesson to ~/.agentskills (rules/skills/templates/commands), backup + commit + push
/vendor-rotation-calendar
Vendor rotation calendar
Generate a quarterly vendor secret-rotation calendar for all load-bearing vendors; emit .ics + ROTATIONS-DUE-NEXT-30-DAYS table; optionally create Google Calendar events
/find-contact
Find contact
Resolve a 3CX contact or extension by email, extension, or name
/pbx-health-check
Pbx health check
Quick health check for a connected 3CX PBX
/queue-status
Queue status
Snapshot of 3CX queue staffing and active call load
/case-review
Case review
Review and triage abuse mailbox cases in Abnormal Security
/search-threats
Search threats
Search for specific threat patterns in Abnormal Security by sender, recipient, attack type, or keywords
/threat-triage
Threat triage
Triage recent email threats detected by Abnormal Security by severity and attack type
/list-overdue-invoices
List overdue invoices
List open and overdue Alternative Payments invoices and optionally generate hosted payment links for them
/reconcile-payout
Reconcile payout
Reconcile an Alternative Payments payout by listing its transactions and matching them against invoices and customers
/eol-report
Eol report
EOL/EOS risk report — devices, OS versions, and firmware approaching or past end-of-life/end-of-support, prioritized by criticality
/refresh-calendar
Refresh calendar
Forward-looking hardware refresh calendar for the given window — replace-now / plan-this-year / monitor tiers
/warranty-status
Warranty status
Warranty status snapshot — expired, expiring-soon, and unknown-coverage devices for one client or the whole portfolio
/create-monitor
Create monitor
Create a threshold-based monitor for an Atera agent
/create-ticket
Create ticket
Create a new service ticket in Atera
/get-kb-articles
Get kb articles
Search the Atera knowledge base for articles
/list-alerts
List alerts
List active RMM alerts from Atera
/log-time
Log time
Log work hours on an Atera ticket
/resolve-alert
Resolve alert
Resolve an RMM alert in Atera
/run-powershell
Run powershell
Execute a PowerShell script on an Atera agent
Your efficient agentic AI coding CLI assistant
2 views 0 likesAI coding with Aegis governance built into execution: baseline-aware changes, evidence-backed delivery. Free desktop client, your choice of model. 将哲科思维融入 AI 开发…
1 views 0 likesAndroid in docker solution with noVNC supported, video recording, mcp server and AI-agent
2 views 0 likesYour AI assistant, built for the agentic era. Open source and local: talk to it, and it runs your agents, your coding CLIs, your browser and your apps. Windows,…
0 views 0 likesVerifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay-verified executions.
0 views 0 likesLet Claude Code and other coding agents drive and debug Chrome from the shell. DOM, network, console and raw CDP as short commands, no screenshots and no MCP ne…
0 views 0 likesUnofficial, agent-friendly Mercadona shopping CLI (Go) — search products, read prices, build a cart and prepare checkout from the terminal. BYO credentials.
0 views 0 likesLocal-first AI canvas for visual workflows, AI short drama, image/video generation, storyboarding and asset management. ComfyUI, AI agents, MCP & Blender. 本地优先…
0 views 0 likesLet any AI coding tool — Claude Code, Cursor, Codex — drive your real Chrome. One-prompt setup, muscle memory, local-first.
0 views 0 likesruns anywhere. uses anything
0 views 0 likes