LLM Mart Basic
@llm-mart · Joined Jun 2026
ALWAYS use this skill in the beginning of any incident investigation, root cause
Use this skill when a name is not resolving as expected inside a VPC, or before applying a DNS control-plane change. Activate on symptoms such as NXDOMAIN or SERVFAIL from an EC2 instance, a hostname resolving to a public address when a private endpoint was expected, an AWS servi
Amazon Bedrock production readiness assessment covering IAM governance, data retention (ZDR), quota and capacity headroom, and operational observability across Standard Bedrock and Mantle surfaces. Use this skill when a user asks to review Bedrock readiness, assess Bedrock securi
Comprehensive Amazon Bedrock review aligned with the AWS
Guidelines for investigating production incidents in the CRM application. Use when triaging any alert or incident involving the CRM REST API, SQS queues, Lambda functions, or Aurora DSQL database in this AWS account. Ensures thorough root cause analysis using AWS-native observabi
AWS Database Migration Service (DMS) operational review and troubleshooting
Comprehensive Amazon EKS operational review aligned with the AWS EKS
Use this skill when a user asks to assess, plan, or validate an
Automatically load this skill when investigating application outages, service degradation, or errors that could have security-related root causes — including unexplained downtime, authentication or authorization failures, injection attacks, data exposure, or suspicious applicatio
Amazon MSK Provisioned operations, troubleshooting, and health
Comprehensive Amazon RDS and Aurora operational review aligned with the
Amazon Redshift domain expertise for query optimization, operational reviews, and cost optimization on provisioned clusters and Serverless workgroups. Use when a user asks about Redshift query tuning, slow queries, disk spill, distribution/sort key issues, a Redshift health check
Use this skill during any incident investigation, capacity planning, or
Skip low-priority incidents during a scheduled maintenance window.
S3 resiliency, security, and data protection review. Assesses one or many S3 buckets across nine dimensions — versioning, replication, object lock, encryption, block public access, bucket policy, ownership controls, server access logging, and static website hosting — using read-o
ALWAYS use this skill in the beginning of any incident investigation, root cause
Automatically load this skill when investigating an operational anomaly on a cloud resource - CPU or memory spikes, latency, elevated error rates, unexpected network traffic, crashes, or cost spikes - to determine whether it is a purely operational issue or a security incident, u
Maximum-efficiency dev mode. Terse, precise prose with zero fluff combined with YAGNI/ladder-first code decisions. One persona: the senior dev who deletes code for fun and bills by the syllable. Trigger: /chisle. Deactivate: "stop chisle" / "normal mode". Use when user says "chis
One-shot efficiency audit of a file, diff, or whole repo across BOTH axes at once: over-engineered code (reinvented stdlib, needless abstractions, speculative config) AND bloated prose (verbose comments, padded docstrings, redundant doc sections). Neither a pure code-minimizer no
Quick-reference card for Chisle commands. One-shot display, not a persistent mode. Use when the user says "chisle help", "how do I use chisle", "what chisle commands", or invokes /chisle-help.
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.
/improve-agent
Improve agent
Improve an existing agent through performance baselines, prompt engineering, A/B testing, and staged rollout
/multi-agent-optimize
Multi agent optimize
Optimize multi-agent system performance through profiling, context window tuning, coordination efficiency, and cost and latency tradeoffs
/team-debug
Team debug
Debug issues using competing hypotheses with parallel investigation by multiple agents
/team-delegate
Team delegate
Task delegation dashboard for managing team workload, assignments, and rebalancing
/team-feature
Team feature
Develop features in parallel with multiple agents using file ownership boundaries and dependency management
/team-review
Team review
Launch a multi-reviewer parallel code review with specialized review dimensions
/team-shutdown
Team shutdown
Gracefully shut down an agent team, collect final results, and clean up resources
/team-spawn
Team spawn
Spawn an agent team using presets (review, debug, feature, fullstack, research, security, migration) or custom composition
/team-status
Team status
Display team members, task status, and progress for an active agent team
/api-mock
Api mock
Build realistic API mock servers with request stubbing, dynamic data, test scenarios, and contract testing
/performance-optimization
Performance optimization
Orchestrate end-to-end application performance optimization from profiling to monitoring
/feature-development
Feature development
Orchestrate end-to-end feature development from requirements to deployment
/block-no-verify
Block no verify
Set up PreToolUse hook to block --no-verify and other git bypass flags in Claude Code projects
/c4-architecture
C4 architecture
Generate comprehensive C4 architecture documentation (Context, Container, Component, Code) for a codebase using bottom-up analysis and four coordinated C4 agents.
/workflow-automate
Workflow automate
Automate CI/CD pipelines, releases, and development workflows with GitHub Actions, pre-commit hooks, and infrastructure automation
/code-explain
Code explain
Explain complex code, algorithms, and design patterns with step-by-step breakdowns, visual diagrams, and interactive examples
/doc-generate
Doc generate
Generate API, architecture, code, and user documentation from a codebase and automate keeping it current
/context-restore
Context restore
Restore saved project context and decisions to resume a session
/refactor-clean
Refactor clean
Refactor provided code for cleanliness, maintainability, and alignment with SOLID principles and modern best practices — no over-engineering.
/tech-debt
Tech debt
Analyze and remediate technical debt — inventory debt items, score by impact, and produce a prioritized remediation plan with estimated effort.
Persistent session memory for AI coding agents — local-first, with on-device inference, associative recall, and drift detection. Works with Claude Code, Cursor,…
13 views 0 likesRun Hermes Agent and OpenClaw on the same WeChat account
13 views 0 likesAn AI co-scientist running on your desktop. Claude Science but better.
13 views 0 likesEmotion Ball 是一套面向 AI 助手的表情引擎:32 种状态表情全部由纯 SVG 与原生 JavaScript 实时驱动,零框架、零图片资源。AI 侧只需输出一个 emotionId,小球即可切换到对应表情,可直接用作聊天机器人、桌面宠物、悬浮助手的情绪表达层。
14 views 0 likesAgent communication SDK. The open-source agent communication layer for AI agents — email, WhatsApp, Slack, Discord, Telegram, SMS. Python & TypeScript.
16 views 0 likesThe micro-VM for AI agents — light enough to embed on your laptop, elastic enough to power an agentic cloud.
23 views 0 likesGive each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.
14 views 0 likesWebhook integration skills for AI coding agents (Claude Code, Cursor, Copilot). Step-by-step guidance for setting up webhook receivers, signature verification,…
16 views 0 likesToken burn reducer and focus keeper for Claude Code, Codex, Copilot, Gemini CLI, and more: surgical read hints, PDF/Office/CSV/markdown file interception, 160+…
16 views 0 likesRuvNet Brain — a downloadable, source-grounded brain for Claude Code over Reuven Cohen's (rUv's) RuvNet stack: RuVector/RVF, Ruflo, AgentDB, RuLake, SPARC + 21…
16 views 0 likes💼 One MCP server to search job boards and company career sites
14 views 0 likesC++ MCP SDK - build Model Context Protocol (MCP) servers and clients in C++ / CPP. Enterprise-grade security, observability, connectivity. Stdio, HTTP+SSE, Stre…
13 views 0 likesOpen-Source AI Presentation Generator and API (Gamma, Canva, Beautiful AI, Decktopus, Presentations AI Alternative)
14 views 0 likesSecure, Fast, and Extensible Sandbox runtime for AI agents.
28 views 0 likesGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
13 views 0 likesBrowser Harness | Self-healing harness that enables LLMs to complete any task.
13 views 0 likesThe World's First Agentic IDE. Visual dashboard: live sessions, task management, code editor, terminal. Epic Swarm parallel workflows. Auto-proceed rules. Autom…
15 views 0 likesAgenta is a workspace where you and your team build agents and automations.
16 views 0 likesTerminal Director. One lightweight app, eight features, your whole dev workflow in a single window.
15 views 0 likesAI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio n…
13 views 0 likes