LLM Mart Basic
@llm-mart · Joined Jun 2026
Use when "create video", "promo video", "video script", "storyboard", "demo video", "product video plan", or need video marketing material. Do NOT use for social media text posts (/content-gen) or landing page copy (/landing-gen).
Use when "extract ideas from YouTube", "index YouTube video", "find startup ideas in video", "analyze YouTube for ideas", "what ideas are in this video", or mining video content for business opportunities. Do NOT use for general YouTube watching or content creation (/content-gen)
Design tool systems for AI agents — core/extended/deferred tiers, eval compute, batch tools, trust metadata. Use when building agent tools, reviewing tool architecture, or reducing tool count.
Researches a company or person and returns actionable sales intel — what they do, recent signals, likely pains, entry angle and talk tracks. Use when the user says "research this company", "who is this prospect", "intel on X before I reach out", or before any outreach, call or pr
Generates batches of ad concepts — headlines, primary text, and visual briefs — organised by angle and awareness level, with per-platform specs for Meta, LinkedIn, X and TikTok. Use when the user asks to "write ads", "give me ad headlines", "create ad variations", "make a visual
Optimizes content to get cited by AI assistants (ChatGPT, Perplexity, Google AI Overviews) and rank in classic SERPs — entity-rich intros, question-shaped H2s, 40-60 word extractable answers, schema.org JSON-LD, llms.txt, internal links, and E-E-A-T signals. Runs in audit or rewr
Gets the books audit-ready: builds the PBC (prepared-by-client) list by area, drafts walkthrough narratives for key cycles (revenue, purchases, payroll), matches auditor samples to support, prepares tie-out schedules, tracks open items with owners and due dates, and drafts respon
Generates a brand kit from a company one-liner — positioning adjectives, a palette with hex codes, usage ratios and do/don'ts, a display+text type pairing with fallback stacks, a voice & tone table (say / never say), a logo brief, and a one-page BRAND.md brandbook other skills co
Prepares a sales call end-to-end — account context, attendee angles, discovery questions, demo focus, pricing guardrails and a one-page cheat sheet. Use when the user says "prep me for my call with X", "I have a demo tomorrow", "meeting with a prospect", or any time a discovery,
Builds a 13-week rolling cash forecast from a bank export, receivables, and payables: opening balance, weekly inflows tagged committed/likely/hopeful, fixed and variable outflows, a lowest-point alert, and runway in weeks — plus three levers (collect faster, cut, delay) whenever
The CEO's right hand — keeps the mission ledger, logs cross-department decisions, runs the weekly review and turns fuzzy founder intent into scoped briefs. Use when the user says "what's in flight", "log this decision", "weekly review", "turn this idea into a brief", or when mult
Persistent filesystem memory across sessions — maintains memory/ with decisions.md, context.md, glossary.md and sessions/YYYY-MM-DD.md, loads and summarizes state at session start, appends decisions and open threads at session end, compacts monthly, and refuses secrets and transi
Runs the month-end close: generates a day-by-day runbook from D-2 to D+5 as CLOSE-<month>.md with an owner matrix, dependency-ordered tasks (subledgers → accruals → reconciliations → flux → lock), numeric flux thresholds, a preparer/reviewer sign-off log, and close metrics such a
Compliance pre-flight for a feature, campaign, or initiative — maps the data and activity involved, checks applicable regimes (privacy/GDPR-style, consumer protection, marketing rules, sector-specific), lists required approvals and notices, builds a gap list with remediation owne
Anti-hallucination protocol for library APIs — resolves the exact installed version from the lockfile, fetches current official docs (Context7 MCP if installed, web fetch otherwise), quotes the doc before writing any code, and pins the version in output. Use when code touches a f
Direct-response copywriting for landing pages, emails, and ads. Picks the right framework (AIDA, PAS, 4U headlines), loads brand voice if a profile exists, builds a 10-variant headline matrix, writes proof-backed body copy toward a single CTA, and pressure-tests every line. Use w
Conversion audit for funnels and pages — a section-by-section friction log (clarity, anxiety, distraction, motivation), heuristic checks (message match, above-the-fold value prop, form cost), an ICE-scored hypothesis backlog, and top-3 A/B test designs with success metrics and mi
Mines reviews, interviews, support tickets and forum threads for voice-of-customer insight — verbatim pains, desires, objections and triggers, clustered into themes with JTBD statements and a message-market map. Use when the user says "analyze these reviews", "what do customers a
Writes personalised cold outreach — first-touch email or DM plus a 3-step follow-up sequence — grounded in real research, with subject-line variants. Use when the user says "write a cold email", "reach out to this prospect", "draft outreach to X", or after account-research produc
Builds a full statement set — P&L, balance sheet, and indirect cash flow — from a trial balance or transaction export, mapping accounts to a standard chart and proving every tie-out in code. Use when the user says 'build a P&L from this trial balance', 'turn this export into fina
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.
/checkpoint
Checkpoint
Periodic multi-reviewer sweep of the whole codebase — surfaces a triaged checkpoint report.
/chore
Chore
Sanctioned lane for non-behavioral work — docs-only edits, dependency bumps, reverts. Type-scaled gates; no TDD demanded of prose.
/cleanup
Cleanup
{{SKILL_ENTRY:post-merge-cleanup}}
/commands
Commands
Show the codeArbiter command catalog — the public command list and what each routes to.
/commit
Commit
{{SKILL_ENTRY:commit-gate}}
/conflict
Conflict
Stop everything and surface a rule conflict — persona vs. docs vs. code. Present both sides and the conflict-hierarchy level; the user resolves. No silent reconciliation.
/context-check
Context check
{{SKILL_ENTRY:context-check}}
/create-context
Create context
{{SKILL_ENTRY:context-creation}}
/debug
Debug
{{SKILL_ENTRY:debug}}
/decompose
Decompose
{{SKILL_ENTRY:decompose}}
/doctor
Doctor
Verify the active host install, package, command ownership, enforcement{{IF:pi}}, wrapper self-test, and active-dispatch coverage gap{{ELSE}}, and harmless live-fire probe{{END}}. Read-only.
/feature
Feature
Start a feature: brainstorm a spec, get it approved, then drive it test-first through the pipeline. The one entry to implementation.
/fix
Fix
Fix a confirmed bug: a failing regression test first, then a minimal fix, then the rest of the tdd gates.
/init
Init
Opt this repo into codeArbiter — scaffold the root-level .codearbiter/ state store.
/metrics
Metrics
Read-only 3-metric governance glance — override rate, small-lane rate, sprint low-confidence ratio — each with a trend arrow vs. the prior 20-commit window.
/override
Override
Sanctioned, logged bypass of a gate or hard rule — one audit line, then proceed.
/pr
Pr
{{SKILL_ENTRY:finishing-a-development-branch}}
/preview
Preview
Zero-onboarding, read-only dry-run of the reviewer fleet against the current uncommitted diff. Predicts reviewers, runs the state-free secret scan, writes nothing.
/prune
Prune
Trim transcript clutter to extend session lifetime — analyze, prune a copy, or toggle the after-each-turn service. Dry-run by default; gains land at resume/compaction, not the current turn.
/reconcile
Reconcile
{{SKILL_ENTRY:decision-variance}}
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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