LLM Mart Basic
@llm-mart · Joined Jun 2026
Use GitHub Backup when an agent needs to mirror repositories, release assets, and gists into local storage on a schedule, instead of manually exporting GitHub content repo by repo.
Synchronizes service metadata into Spotify Backstage catalog using catalog-info.yaml generation and the Backstage Catalog REST API. Manages component, API, and system entity relationships across teams.
Creates Spotify Backstage software templates using template.yaml definitions with Scaffolder actions including fetch:template, publish:github, and catalog:register. Manages the Backstage Software Catalog via its REST API.
BackstopJS gives agents a repeatable way to capture reference screenshots, compare UI states, and flag visual regressions before changes ship. This skill centers on the real BackstopJS project and turns browser-based layout comparison into a structured QA workflow for web teams.
Generates social media graphics and OG images dynamically via Bannerbear REST API. Manages template modifications, font layers, and signed URL generation for on-the-fly image personalization.
Scan a repository for secrets, keep an auditable baseline, and review only newly introduced findings during commits or CI checks.
Baserow is an open-source no-code platform for databases, automations, internal apps, and API-first workflows. It is useful when teams need spreadsheet-like data management, self-hosting, and programmable access without building a custom admin stack from scratch.
bat is a cat(1) clone written in Rust that adds syntax highlighting for over 200 languages, Git integration showing file modifications, automatic paging, and line numbering. It serves as a drop-in replacement for cat with enhanced readability for code and configuration files.
Analyzes Bazel build dependency graphs to identify bottlenecks and optimize build times. Uses the Bazel Query Language (BQL), Action Graph API, and Build Event Protocol (BEP) for deep build analysis.
Finds and compares 184,900 swimming spots worldwide (beaches, lakes, bathing places) with live water temperature, wind, UV and wave signals, local guides and source-backed activity providers, via the public BeachFinder MCP server.
Bearer CLI is an open-source static application security testing (SAST) tool that scans source code to identify, filter, and prioritize security vulnerabilities and privacy risks. Covers OWASP Top 10 and CWE Top 25 with data flow analysis across multiple languages.
Extracts structured citation data from academic repositories using BeautifulSoup4 with lxml parser. Parses DOI metadata, author affiliations, and reference lists from PubMed, arXiv, and Semantic Scholar HTML.
Bedrock is a WordPress boilerplate with Composer-based dependency management, environment-specific configuration via .env files, and an improved folder structure. It separates WordPress core from application code for cleaner version control and deployment.
A source-backed ASE skill for Beekeeper Studio, the SQL editor and database manager for Linux, macOS, and Windows. It fits workflows that need a real client for querying, browsing tables, and working across PostgreSQL, MySQL, SQLite, SQL Server, and other supported databases.
Manage and tag music libraries with beets, the Python-based CLI tool that auto-tags audio files using MusicBrainz metadata. Import, organize, deduplicate, and query your music collection with a powerful plugin system and flexible query language.
Use MemoryBench to run repeatable conversational memory and RAG benchmarks across providers, datasets, judge models, checkpoints, and structured reports.
Benchmark clean and incremental Xcode builds, surface compile and configuration hotspots, and produce an approval-first optimization plan before changing project files.
Compare browser-agent reliability on a repeatable task and anti-bot suite before choosing a stack or claiming progress.
Run a repeatable evaluation suite for browser agents against static web task snapshots instead of judging them from demos or one-off tests.
Run Claude Code, Codex CLI, Gemini CLI, or OpenCode through bounded H100 post-training tasks and compare how well each agent improves a base LLM.
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.
Add remote HTTP or local stdio MCP servers to Claude Code, choose the right scope, protect credentials, verify the connection, and test with least privilege.
Skills teach Claude a repeatable method, connectors provide governed access to apps and live data, and plugins package related capabilities for installation and sharing.
Use an agent skill to package reusable know-how and workflow instructions. Use an MCP server when an agent needs live, governed access to external data or actions.
Custom commands and skills can both create a slash-invoked workflow in Claude Code. The important choice is how the workflow is discovered, shared, and permissioned.
A useful Claude skill solves one recurring engineering job, is easy to inspect, and saves more time than it creates in setup and review.
Claude skills can live in your Claude account, your local Claude Code setup, or a repository. Install them where the sessions that need them can load them.
Build a portable AI agent skill from one repeatable job: a precise description, concise instructions, focused resources, and tests that prove it works.
AI agent skills package instructions, scripts, references, and templates into portable folders an agent loads only when the task calls for them.
AI made publishing cheap, which is exactly the problem. What separates a page worth ranking from a competent summary of the first ten results.
A prompt that works once isn't a quality system. Five cases, an observable rubric, and a regression set will tell you whether a change helped.
One character of YAML, four pods that never started, and two safety nets I didn't know were holding. Every restart is an audit. Schedule them before they schedule you.
"Verify your work" isn't an instruction. It's a mood. Here's the version that's an instruction. Verify with a different mechanism than the one that made the claim.
A prompt that works once may still fail in production. A lightweight eval set gives you repeatable cases, a clear rubric, and a way to see whether a prompt change actually improved the workflow.
The best AI tool is not the one with the longest feature list. It is the one that solves a defined job reliably, fits the workflow, handles data appropriately, and remains useful after the novelty wears off.
Use AI to speed research without losing trust. Learn to find primary sources, verify claims, preserve uncertainty, and keep an auditable source trail.
Better prompts aren't magic wording. They're short briefs that hand the model a task, the context it can't infer, the limits, and a quality bar.
A green PR, a controller reporting success, and not one line of the new code running
/proposal
Proposal
Create a multi-page funding proposal with your organization's branding
/report
Report
Create a program report or annual report with your organization's branding
/slides
Slides
Create HTML presentation slides with your organization's branding
/update
Update
Check for updates and install the latest version
/hotpatch
Hotpatch
Sandboxed pre-install scan plus cooldown bypass for urgent npm/bun installs. Use when a package must ship despite the cooldown.
/diff-review
Diff review
Generate a visual HTML diff review, before/after architecture comparison with code review analysis
/fact-check
Fact check
Verify the factual accuracy of a document against the actual codebase, correct inaccuracies in place
/generate-slides
Generate slides
Generate a stunning magazine-quality slide deck as a self-contained HTML page
/generate-visual-plan
Generate visual plan
Generate a visual HTML implementation plan, detailed feature specification with state machines, code snippets, and edge cases
/generate-web-diagram
Generate web diagram
Generate a beautiful standalone HTML diagram and open it in the browser
/plan-review
Plan review
Generate a visual HTML plan review, current codebase state vs. proposed implementation plan
/project-recap
Project recap
Generate a visual HTML project recap, rebuild mental model of a project's current state, recent decisions, and cognitive debt hotspots
/share-page
Share page
Deploy a generated visual-explainer HTML page and return a live Vercel URL
/adapt-framework
Adapt framework
Adapt KATA and repository tooling after an approved no-write analysis and plan.
/break-down-tests
Break down tests
Explain existing automated tests and assertions without editing code.
/business-api-map
Business api map
Generate or refresh the business-level API map.
/business-data-map
Business data map
Generate or refresh the business data and flow map.
/business-feature-map
Business feature map
Generate or refresh the business feature inventory.
/fix-traceability
Fix traceability
Audit and repair one ticket's TMS traceability after explicit approval.
/jira-components
Jira components
Plan and reconcile Jira Components after explicit approval.
Make any song you can imagine
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28 views 0 likesDeterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.
30 views 0 likesDeterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…
19 views 0 likesNative Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…
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15 views 0 likesProduction-grade MCP server for MikroTik RouterOS with secure AI-native network automation.
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