LLM Mart Basic
@llm-mart · Joined Jun 2026
PostgreSQL schema design, query optimization, indexing, and administration. Use when writing schemas, queries, migrations, or mentions PostgreSQL, Postgres, JSONB, partitioning, RLS, CTEs, window functions, EXPLAIN ANALYZE, or connection pooling.
Python patterns for CLI tools, async parallelism, and backend services. Use when building CLI apps, async/parallel Python, FastAPI services, background jobs, or configuring Python project tooling (uv, ruff, ty).
React, TypeScript, and Next.js patterns for frontend development. Use when building React components, managing state, fetching data, optimizing performance, or working with Next.js App Router. Covers React 18-19, hooks, Server Components, and type-safe patterns.
Transforms vague or rough prompts into precise, structured AI instructions. Use when asked to "refine prompt", "improve prompt", "make this prompt better", "promptify", "optimize prompt", "rewrite prompt", "enhance prompt", or "sharpen instructions".
Session retrospective and skill audit. Use when "/reflect", "session review", "retrospective", "what went wrong", "lessons learned", "what should we remember", or "what can we improve".
Simplifies, polishes, and declutters code without changing behavior. Use when asked to "simplify code", "clean up code", "polish code", "refactor", "declutter", "reduce complexity", "remove dead code", "remove AI slop", "improve readability", or "tighten up this file".
Tailwind CSS v4 patterns: CSS-first config, utility classes, component variants, v3 migration. Use when styling with Tailwind, configuring @theme tokens, using tailwind-variants/CVA, migrating v3 to v4, or fixing Tailwind styles and dark mode.
Terraform and OpenTofu configuration, modules, testing, state management, and HCL review. Use for "terraform module", "terraform test", "infrastructure as code", "IaC", "HCL", "tfvars", "terraform plan", "terraform apply", "OpenTofu", "tftest", or multi-environment patterns.
Writes Laravel tests using PHPUnit. Use when "write tests", "add tests", "phpunit", "laravel test", "feature test", "unit test", "mock", "factory", or testing controllers, models, services, actions, jobs, artisan commands, or API endpoints.
Writes React/TypeScript tests using Vitest and React Testing Library. Use when "write react tests", "vitest", "component test", "hook test", "RTL", "testing library", "snapshot test", or testing React components, hooks, and utilities.
Prose editing, rewriting, and humanizing text for natural tone. Use when asked to "write", "rewrite", "edit", "humanize", "improve text", "fix the tone", "remove AI language", "proofread", or when writing copy, docs, blog posts, articles, or emails.
Shape output for a reader with ADHD: lead with the next action, number multi-step work, restate state across turns, suppress tangents, give specific time estimates, make wins visible. Invoke with /i-have-adhd; stays on until "stop adhd mode".
Shape output for a reader with ADHD: lead with the next action, number multi-step work, restate state across turns, suppress tangents, give specific time estimates, make wins visible. Invoke with /i-have-adhd; stays on until "stop adhd mode".
Draft or refine IDD-ready GitHub issues, roadmap issues, and sub-issues before the normal IDD execution loop begins. Use when a request is too large or ambiguous for one reviewable change, when work needs decomposition or dependency encoding, or when the user asks for issue draft
Repo-local, dogfood-only semantic audit of the IDD instruction corpus for leaked session context, cross-file contradictions, fresh-memory completability gaps, automation blockers, and restatement-discipline drift. Use only in the kurone-kito/idd-skill source repository, on reques
Draft or refine IDD-ready GitHub issues, roadmap issues, and sub-issues before the normal IDD execution loop begins. Use when a request is too large or ambiguous for one reviewable change, when work needs decomposition or dependency encoding, or when the user asks for issue draft
Finish authorized, non-trivial work and prove the requested outcome. Use when a deliverable has dependent steps, integration boundaries, or a risk of stopping at a plan, partial artifact, isolated component, or proxy check, or when the cause, solution path, or proof boundary of a
一句话定位:把任何工程任务强制按「三级跑道(L1 快速通道 / L2-S 短工作流 / L2-F 完整 11 步)+ L1/L2/L3 封闭清单速判 + 三模式」推进的可审计 Agent 工程纪律工作流,核心纪律可平台无关硬注入。适用:任何动手工程任务——编码/多文件/跨模块/修 bug/建组件/审查/用户点名按流程;不适用:纯聊天问答、单文件只读查询、与工程无关的对话。
Search and read locally-stored Claude documentation covering Claude Code CLI, Claude API (Messages, tool use, vision, streaming, batch), Agent SDK (Python and TypeScript), prompt engineering, and all Anthropic platform docs. Use this skill whenever the user asks about Claude Code
Generate a self-contained HTML changelog report showing recent documentation changes with interactive course generation buttons. Use this skill when the user asks for a docs changelog, documentation report, what changed recently, recent doc updates as a report, or runs `/docs --r
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.
/search-contacts
Search contacts
Search Clio contacts by name, company, or email
/search-matters
Search matters
Search or list Clio matters by name/client and status
/capacity-check
Capacity check
Capacity forecast for cloud resources, scoped to a resource type or covering everything connected
/cost-report
Cost report
Cloud cost anomaly and reclaimable-spend report for a given window
/network-sweep
Network sweep
Full network health sweep across all connected network-monitoring tools — devices down, degraded links, and topology changes
/drift-report
Drift report
Report control and configuration drift since the last known-good baseline for a client or the whole portfolio
/evidence-pack
Evidence pack
Build a source-cited compliance evidence package for a client against a named framework
/questionnaire
Questionnaire
Draft evidence-backed answers to the standard cyber-insurance questionnaire for a client
/list-computers
List computers
List computers in ConnectWise Automate with optional filters
/run-script
Run script
Execute a script on an endpoint in ConnectWise Automate
/create-quote
Create quote
Create a ConnectWise CPQ quote by copying a template or an existing quote
/get-quote
Get quote
Get a ConnectWise CPQ quote with its tabs, line items, customers, and terms
/list-templates
List templates
List ConnectWise CPQ quote templates available to copy
/search-quotes
Search quotes
Search ConnectWise CPQ quotes by account, status, or date range
/add-note
Add note
Add an internal or external note to a ConnectWise PSA ticket
/check-agreement
Check agreement
View agreement status and entitlements for a company in ConnectWise PSA
/close-ticket
Close ticket
Close a ConnectWise PSA ticket with resolution notes
/create-ticket
Create ticket
Create a new service ticket in ConnectWise PSA
/get-ticket
Get ticket
Retrieve detailed ticket information from ConnectWise PSA
/log-time
Log time
Log a time entry against a ConnectWise PSA ticket
VCP 部署在 AI 模型 API 与前端应用之间,是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架,将原本“无状态、无记忆、无工具调用能力”的大语言模型,彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。
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