LLM Mart Basic
@llm-mart · Joined Jun 2026
Search and explore ENCODE Project genomics data. Use when the user wants to find experiments, files, or explore what data is available for specific assays, organs, cell lines, or targets.
Set up the ENCODE Toolkit server connection. Use when the user needs help installing, configuring, or troubleshooting the ENCODE connector.
Find and work with ENCODE single-cell genomics data including scRNA-seq and scATAC-seq. Use when the user asks about single-cell experiments, cell type resolution, clustering from ENCODE data, deconvolution of bulk signals using single-cell references, or comparing single-cell vs
Track ENCODE experiments locally with publications, citations, and provenance. Use when the user wants to build a collection of experiments, manage citations, compare experiments, or track data provenance.
Query the UCSC Genome Browser REST API to retrieve regulatory tracks, DNA sequences, cCRE annotations, TF binding clusters, and track schemas for any genomic region. Use when the user wants to look up what regulatory elements exist at a genomic locus, retrieve DNA sequence under
Annotate genetic variants (GWAS hits, eQTLs, rare variants) with ENCODE functional data to interpret non-coding variation. Use when the user has variants of interest and wants to understand their regulatory context, identify causal variants from GWAS loci, assess variant impact o
Comprehensive guide for visualizing ENCODE data including deeptools heatmaps, IGV screenshots, UCSC track hubs, and publication-quality plots. Use when users need to create visualizations of ChIP-seq signal, peak landscapes, genome browser views, or any visual representation of E
Make software health, failure, degradation, and recovery visible through useful observability and diagnostics. Use when adding logs, metrics, traces, health checks, alerts, incident signals, or operational feedback.
Inspect the real repository, environment, dependencies, and runtime evidence before designing or changing software. Use for greenfield construction, unfamiliar codebases, uncertain behavior, or any task where assumptions could create rework.
Reflect on failures, incidents, reviews, and completed software work to turn evidence into durable tests, guardrails, documentation, and process improvements.
Debug software by making failures visible, reproducing them, finding contributing causes, and adding durable regression protection. Use for bugs, failing tests, incidents, regressions, flaky behavior, and unexplained production errors.
Improve software continuously through small, safe, behavior-preserving changes that reduce maintenance cost. Use for refactoring, cleanup, technical debt, naming, duplication, dead code, or post-change polish.
Choose simple, maintainable software designs by removing speculative complexity, comparing alternatives, and making explicit tradeoffs. Use for architecture, API, data-model, dependency, and scope decisions.
Implement software through small, repeatable, integrated vertical slices with clear exit criteria and honest verification. Use when a design is understood and code needs to be built or changed.
Review software with careful attention to correctness, maintainability, security, operations, and meaningful detail. Use for diffs, branches, pull requests, architecture decisions, or final quality checks.
Author a greenfield build blueprint in four gated stages — business logic, tech stack, logic-to-stack mapping, and a phase plan — each requiring explicit user approval before the next. Use when building a new project or a substantial new subsystem from scratch.
Step 0 of consequential software work under Monozukuri. Classify the task, assess its risk tier, choose execute or sensei mode, and compose the sequence of Monozukuri skills and the Definition of Done for it. Skip for trivial one-line edits, pure questions, and throwaway scripts.
Clarify software goals, constraints, stakeholders, and risks before consequential design or implementation work. Use for greenfield ideas, ambiguous requirements, architecture decisions, or changes where misunderstanding would be costly.
Prevent software mistakes through strong boundaries, safe defaults, meaningful tests, and mechanically enforced invariants. Use for TDD, validation, schemas, authorization, edge cases, regression coverage, or reliability-sensitive behavior.
Prepare software for responsible release, migration, deployment, rollback, and handoff with evidence about compatibility, health, ownership, and recovery.
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.
Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.
/postmortem
Postmortem
Draft a blameless postmortem for a given incident (by ID or name), or the most recent significant incident within a time window
/device-inventory
Device inventory
List all devices at a Domotz-monitored site
/device-lookup
Device lookup
Find a Domotz device by name, IP address, or MAC address
/site-overview
Site overview
Overview of a Domotz site's network health
/check-threat
Check threat
Pull full detail for one Checkpoint Harmony Email detection and the message behind it
/release-quarantine
Release quarantine
Restore quarantined mail to its recipients in Checkpoint Harmony Email, with task polling
/search-quarantine
Search quarantine
Find messages in Checkpoint Harmony Email by sender, subject, attachment hash or quarantine state
/search-threats
Search threats
Sweep security events in Checkpoint Harmony Email by type, state, severity and date range
/campaign-summary
Campaign summary
Get summary of recent phishing and training campaigns from KnowBe4
/group-report
Group report
Get security awareness metrics for a KnowBe4 group
/phishing-results
Phishing results
View phishing campaign results and click rates from KnowBe4
/training-status
Training status
Check training completion status for users or groups in KnowBe4
/user-risk
User risk
Get risk score and risk history for a KnowBe4 user
/org-health-check
Org health check
Full health check for one Proofpoint Essentials customer org
/search-org
Search org
Resolve a Proofpoint Essentials customer org by name or domain and show its details
/check-threats
Check threats
View recent TAP threat events including blocked messages, delivered threats, and click activity
/decode-url
Decode url
Decode a Proofpoint URL Defense rewritten URL back to the original URL
/investigate-threat
Investigate threat
Deep-dive threat investigation with forensics, campaign context, and remediation options
/release-quarantine
Release quarantine
Release one or more quarantined messages to their intended recipients
/search-quarantine
Search quarantine
Search quarantined messages in Proofpoint by sender, recipient, subject, or reason
Paper trading simulator for Polymarket — built for AI agents. MCP server, live order books, strategy backtesting. Install: npx clawhub install polymarket-paper-…
1 views 0 likesAn SSH tool dedicated to addressing all pain points · (macOS/Windows/Linux/Android/iOS)
2 views 0 likesThe first AI agent harness native to the browser. A browser extension that runs a full agent loop where you already work: it drives your tabs, spins up sandboxe…
2 views 0 likesSmartLabel AI 2026: Auto-Annotate Any Object via LLM-Powered Prompt Parsing
2 views 0 likesLocal-first visual generation runtime and studio for people and coding agents, with reproducible image and video workflows across multiple providers.
0 views 0 likesScholar All-In-One: A research infrastructure for AI agents
0 views 0 likesGive your AI agent a real browser — with a human in the loop. Open-source MCP-native browser agent.
0 views 0 likes同花顺免费开源AI插件FQGate-agent(原插件名 tonghuasun-agent):为 Codex、Claude Code、DeepSeek 等 AI 工具提供本机 A 股实时行情、K 线、Level-2、资讯、账户查询与可选交易能力。
1 views 0 likesA non-linear AI agent workbench — session is a tree: branch anytime, and context follows the branch
2 views 0 likesProduction-grade AutoCAD MCP server for AI agents — 122 tools, dual COM (live AutoCAD) + headless ezdxf engines, ISO GD&T and dimension-tolerance validation for…
2 views 0 likesA DeepSeek coding agent harness: persistent shell, Ultra subagents, auto approval, Chrome MCP and session telemetry
3 views 0 likesWaku Waku! Waku Agent is a local-first AI agent harness you actually own, including loop, memory, eval, all in code built to stay legible as it grows.
3 views 0 likesRemote control for Claude Code, Codex, Grok, and Cursor on Mac or PC. View sessions, send tasks, and drive them remotely from your phone, PIN, or Ring. OpenClaw…
2 views 0 likes