LLM Mart Basic
@llm-mart · Joined Jun 2026
Use when planning link acquisition. Classifies the site's authority phase from site age and visible signals, then recommends phase-appropriate tactics from the bundled tactic playbook library. No backlink tool required.
Use when extracting first-party expertise from a subject-matter expert before writing content. Produces a knowledge document of contrarian takes, specific examples, and surprising outcomes that AI can't fabricate.
SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so
Discover, compare, audit, and safely install reusable AI Agent Skills with OpenAgentSkill. Use whenever an agent needs a capability it does not already have, must compare Skill alternatives, or needs evidence before installing third-party instructions.
Find, compare, audit, and safely install reusable AI agent skills from OpenAgentSkill. Use when a user asks for a skill, plugin, reusable agent workflow, or the best tool for a task.
Create a polished, printable learning report for one AI-Shifu course from live course analytics or a supplied report dataset. Use this skill whenever a teacher or teaching manager asks for an AI-Shifu learning report, course review, teaching diagnosis, lesson health analysis, lea
Turn user-provided source materials into market-fit course-topic decisions without exceeding the evidence boundary of the materials. Use when the user needs course topic selection, competitor analysis, pricing guidance, audience targeting, market positioning, or a decision on whe
本地优先的 AI 收藏夹助手,让桌面 Agent 自动收录和整理小红书、微信、抖音、B站、小宇宙、音乐、文章与常见网页,保留可编辑 Markdown 和原始证据。当用户要安装、启动或配置 Pickoo,以及收藏、搜索、阅读或整理公开内容时使用。
Independently review source-extracted quote, viewpoint, hook, and structure candidates. Image and shot assets are outside automatic review and enter only after explicit user interaction.
Process, validate, repair, or resume an existing Pickoo source package after save-to-favorites or the shared task worker hands it off. Handles evidence-preserving capture, OCR, ASR, chaptering, analysis, and quality-gated assets inside that package. Do not use this skill as the i
The single complete Pickoo workflow for new Xiaohongshu, WeChat, Douyin, Bilibili, Xiaoyuzhou, podcast, music, article/blog, or general web links. Use for 收藏、保存、收录、抓取、归档、拆解、分析、OCR、ASR or 完整处理 from Codex, WorkBuddy, Hermes, Claude, or Claudian. It owns intake and the complete down
Optional. The plugin works with no setup (hook delivery, auto-detected mode, subagents covered). Use /fable-setup only to change the defaults - keep the rules in a rules file (agent teams) or a CLAUDE.md section, pin interactive/unattended mode, write the effort default - or to a
Show what oh-my-fable is doing right now, in one table, without changing anything. Plugin version, where the rules live, this session's mode and why, effort, whether the rules file is current, and CLAUDE.md conflicts. Triggers: "/fable-status", "fable 상태", "규칙 적용됐어?", "지금 뭐가 켜져 있
Add a DeepChat LLM provider through explicit reviewed source changes. Use when a developer asks Codex to add a provider, provider profile, upstream provider config, model catalog mapping, provider auth behavior, or a special provider adapter in this repository.
Help developers build third-party tools that import, inspect, migrate, or analyze DeepChat data. Use when Codex needs to work with DeepChat provider configuration, model configuration, MCP/app settings, sessions, messages, legacy chat data, `agent.db`, `chat.db`, SQLCipher encryp
Prepare and publish DeepChat releases in this repository. Use when Codex needs to bump the app version, update CHANGELOG.md, keep release notes bilingual from v1.0.1 onward with English bullets first and Chinese bullets second, run release checks, create or update versioned relea
Use before substantial DeepChat code, configuration, documentation, test, build, feature, issue, refactor, or architecture changes that need a durable RFC and an explicit execution path. Skip trivial style fixes, small localized logic changes, routine docs edits, and simple bugs
Use only when a developer explicitly asks to clean, prune, tidy, or organize DeepChat SDD documentation after implementation and validation. Scans docs/features, docs/issues, and docs/architecture; prefers multi-agent review when available; removes completed issue docs when a lin
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing
Comprehensive code review assistant that analyzes code quality, security, and best practices
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.
/python-scaffold
Python scaffold
Scaffold a Python project (FastAPI, Django, library, or CLI) with uv, type hints, testing, and dev tooling
/approve-review
Approve review
Open a review-action approval window by creating the ./.review-approved flag file. Takes an optional reason string that is recorded in the flag file and an unsigned approval log.
/list-pending
List pending
List the review actions that the review-governance policy blocked in this session. protect-mcp 0.7.4 writes no receipt for a denied call, so the list comes from the session, not from ./review-receipts/.
/compliance-check
Compliance check
Review software compliance controls, regulatory requirements, and audit readiness
/security-dependencies
Security dependencies
Scan dependencies for vulnerabilities and generate supply chain security evidence
/security-hardening
Security hardening
Orchestrate comprehensive security hardening with defense-in-depth strategy across all application layers
/security-sast
Security sast
Static Application Security Testing (SAST) for code vulnerability analysis across multiple languages and frameworks
/setup
Setup
Initialises the ShipMate pipeline in the current project. Creates the stories folder, sets up the pipeline state directory, and runs the initial codebase scan to generate project-doc.md and AGENTS.md.
/ship
Ship
Master pipeline entry point. Routes requirements from a story file through scan → orchestrate → architect → implement → review → QA → playwright stages. Use /ship stories/foo.md to start, /ship status to check progress, /ship resume to continue.
/business-case
Business case
Generate comprehensive investor-ready business case document with market, solution, financials, and strategy
/financial-projections
Financial projections
Create detailed 3-5 year financial model with revenue, costs, cash flow, and scenarios
/market-opportunity
Market opportunity
Generate comprehensive market opportunity analysis with TAM/SAM/SOM calculations
/rust-project
Rust project
Scaffold a Rust project (binary, library, workspace, or Axum web API) with Cargo, testing, and dev tooling
/tdd-cycle
Tdd cycle
Execute a comprehensive TDD workflow with strict red-green-refactor discipline
/tdd-green
Tdd green
Implement minimal code to make failing tests pass in TDD green phase
/tdd-red
Tdd red
Write comprehensive failing tests following TDD red phase principles
/tdd-refactor
Tdd refactor
Refactor code while keeping all tests green in TDD refactor phase
/issue
Issue
Resolve a GitHub issue from triage and root cause analysis through test-driven implementation and a pull request
/standup-notes
Standup notes
Generate async standup notes from git commits, Jira tickets, and Obsidian notes
/accessibility-audit
Accessibility audit
Audit UI code for WCAG compliance
Offline-first Python AI agent that runs a tiny research business: quotes each job against its own costs, collects via Stripe, fulfils with NVIDIA Nemotron, pays…
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0 views 0 likes从 0 复刻 WorkBuddy-style 桌面 AI 助手 Harness:24 章 Python 教程,覆盖 Agent Loop、工具调用、记忆系统、Sidecar、沙盒审计、DeepSeek/OpenAI 评测轨迹
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