LLM Mart Basic
@llm-mart · Joined Jun 2026
Produce and schedule content for LinkedIn, Instagram, Facebook, X, Reddit, and TikTok - hooks, formats, cadence, and engagement. Use for organic social presence.
Read, analyze, and produce Excel/CSV files - cleanup, pivots, formulas, charts, and formatted workbooks - using pandas and openpyxl. Use for any spreadsheet task.
Translate business questions into SQL, validate results, and explain assumptions. Use for analytics, reconciliations, and ad-hoc reporting.
Triage incidents like an SRE - correlate logs, metrics, events and traces, find the root cause, propose remediation, and write the postmortem. Uses k8sgpt when available.
Inspect and operate Stripe (customers, payments, subscriptions, invoices, products) through the Stripe API or CLI. Use for billing questions, payment debugging, and revenue reporting.
Shared senior-desk contract for Marketing, SEO, and Leads studios. Enforces context bar, sourced claims, deliverable formats, anti-hallucination rules, and a PASS/WARN/BLOCK closing gate. Load on every /marketing, /campaign, /seo, and /leads run.
Studio / GTM reports are interactive Three.js UIs opened with open_preview (UI, not PDF). Expert Review / Security / Debug stay a self-contained HTML file in File Preview (no JavaScript). Use after RiskLens, SEO, Marketing, Leads, Ads, Montage, Meeting, Scraping, Review, Security
Rewrite text to match a target tone - the company's, an executive's, or a specific register - while keeping the substance. Use to align content with a voice.
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
Administer Supabase tables, migrations, storage, functions, and RLS policies. Prefer MCP Supabase or CLI when configured.
Administer Linux, macOS, and Windows servers and VMs - services, disks, memory, processes, network, certificates, backups, patches. Whitelisted read commands; dangerous ops need approval.
Decompose complex requests into ordered steps, dependencies, risks, and deliverables. Use when the user asks to plan a project, break down a feature, migrate systems, or tackle multi-step work before coding.
Create product docs, API references, runbooks, procedures, and architecture documents. Use when precision and completeness matter more than persuasion.
Maintain the library of branded document templates - DOCX, PPTX, PDF styles, email blocks - versioned and reusable by all document skills. Use to create or update templates.
Find, qualify, answer and win public tenders. Official portals, company profile, semantic match, 0-100 score, Go/No-Go, dossier writer, pipeline to Won/Lost. Use for Appels d'offres, RFP, RFQ, DAO, TED, SAM.gov, Etimad, UNGM.
Watch public tenders, RFPs, and consultations across portals - filter by fit, alert on deadlines, and prep bid decisions. Use to never miss a relevant appel d'offres.
Author and validate Terraform / OpenTofu IaC with plan-before-apply discipline. Use for infrastructure changes and reviews.
Generate and run unit, API, and E2E tests (including Playwright) that match project conventions. Use when adding coverage or reproducing a bug with a failing test first.
Map the attack surface and build a STRIDE threat model - trust boundaries, data flows, entry points, assets, and prioritized threats with mitigations. Use for /threatmap, architecture security reviews, or "what could go wrong?" planning.
Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.
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.
/list-arcs
list-arcs
Surface all retrospective documents with key shape metrics; compare arcs deliberately.
/multimedia-enrich
Multimedia enrich
Progressive multimedia enrichment pass — add high-value audio/video/image/interactive to a site, run again and again
/plan-execute-verify-repair
Plan execute verify repair
Run the autonomous-engineering operating loop on a task (plan→implement→verify→repair→report)
/post-arc-retrospective
Post arc retrospective
Capture the cumulative output of a /loop arc into a single auditable retrospective document; scans the heymegabyte-claude-skills plugin for modified files, categorizes by directory, counts LOC delta, extracts tool counts from MCP servers, and writes a timestamped report to retrospectives/
/prepare-multi-file-brief
prepare-multi-file-brief
Turn a comma-separated list of file paths into a fully structured Pattern A agent brief — ordered writes, per-file schemas, and a verification step baked in.
/prepare-skeleton-brief
prepare-skeleton-brief
Turn Pattern B from agent-resilience-discipline into a one-keystroke agent brief for a single-file deliverable < 300 lines.
/process
Process
Chain the full Superpowers process flow — brainstorm → plan → worktree → build → review → finish — on one slash command
/retro
Retro
Generate a timestamped arc retrospective from the past 7 days of git history in `~/.agentskills`.
/review-global-prompts
Review global prompts
Review ~/.claude/CLAUDE.md + rules for contradictions, stale guidance, duplication; consolidate
/run-evals
Run evals
Batch-run all LLM eval cases in tools/evals/cases/*.json; aggregate pass/fail, cost, regression vs last run; exit nonzero in CI mode
/saas
Saas
One-line SaaS — from a description, scaffold a complete CF-native multi-tenant SaaS (Hono + D1 + Drizzle + Better Auth + Stripe + shadcn) deployed to a real URL
/security-supply-chain
security-supply-chain
Unified supply-chain audit. Checks GitHub Actions SHA-pinning (`sha-pin:check`), package.json git+https deps (per `no-gitlab-megabytelabs-deps` semgrep), gitleaks scan, and trufflehog verified-only sweep. Surfaces any tag-mutable, git-URL, or secret-exposed surface. Per rules/ai-agent-security.md § Supply chain.
/self-improve
Self improve
Run a learning pass after a major run; fold reusable lessons into global config
/session-recap
session-recap
Summarize recent CHANGELOG.md entries for context restoration. Parses the canonical heading shape `## YYYY-MM-DD — pass-N — summary`. Filters: last N (default 10), YYYY-MM date prefix, or "today". Supports --json for machine-readable output.
/skill-health
Skill health
Run quality-scores + token-budget + dep-graph, interpret results, flag missing budgets, orphans, and oversize skills
/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
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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