LLM Mart Basic
@llm-mart · Joined Jun 2026
Imported from smith-horn/skillsmith/.claude/commands/agents/agent-coordination.md.
Imported from smith-horn/skillsmith/.claude/commands/agents/agent-spawning.md.
Imported from smith-horn/skillsmith/.claude/commands/agents/agent-types.md.
Use when asked to analyse, review, or refresh an external agentic system — an agent runtime, harness, orchestration framework, or agent operating layer, or any narrower system whose deployed behavior depends on model calls plus surrounding machinery.
Discover connections for a single artifact. Writes a connect-report under kb/reports/connect/<collection>/ without mutating library artifacts or indexes. Use with an artifact path or artifact name.
Convert notes between types. Currently supports text to note by adding unverified structured frontmatter, renaming the file to match the title, and fixing backlinks. Use with a note path or note name.
Diagnose Commonplace project layout, promoted-skill discovery, user-level uv tool installation, command PATH ownership, and launch-environment failures.
Use when asked to ingest one URL or an existing local snapshot into a tracked .ingest.md source analysis.
Experimentally revise a note with fresh critic, author, synthesizer, and blind-judge agents while retaining the incumbent as fallback.
Run deterministic validation on KB artifacts, collections, collection landings, and the published redirect map, including schemas, links, required sections, and batch signals.
Write one KB note whose intended contribution is already determined, under its collection and type contracts; validate it and hand broader graph discovery to cp-skill-connect.
Write or rebuild a KB artifact through reconstruction, claim disposition, drafting, audit, and promotion. Use when claims need grounding, synthesis, or separation across multiple artifacts; avoid it for settled local edits.
Measure framework overhead by decomposing scenarios into clean-context forks and reporting per-fork load plus aggregate cost.
Open a Markdown file in Roughdraft, wait for the user's CriticMarkup review, then apply or respond to the feedback.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's desc
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
Imported from zby/commonplace/kb/work/skill-creator-distillation/sources/claude-code-skill-creator/agents/analyzer.md.
Imported from zby/commonplace/kb/work/skill-creator-distillation/sources/claude-code-skill-creator/agents/comparator.md.
Imported from zby/commonplace/kb/work/skill-creator-distillation/sources/claude-code-skill-creator/agents/grader.md.
Read, summarize, and triage GitHub issues and pull requests for a repository using the authenticated GitHub MCP server. Invoke whenever the user asks about open issues, wants a repo's issues summarized or triaged, asks to find issues by label or author, or asks to draft an issue.
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.
/doc-api
Doc api
Generate API documentation from code
/docs
Docs
Update or generate YAML documentation for SQL models with proper descriptions and tests
/e2e-setup
E2e setup
Configure end-to-end testing suite
/estimate-assistant
Estimate assistant
Generate accurate project time estimates
/explain-code
Explain code
Analyze and explain code functionality
/explain-issue-fix
Explain issue fix
Explain how tasks in an issue were implemented with detailed breakdown
/find
Find
Search and locate tasks across all orchestrations using various criteria.
/five
Five
Apply the Five Whys root cause analysis technique to systematically investigate issues
/fix-github-issue
Fix github issue
Analyze and fix a GitHub issue with comprehensive testing and verification
/fix-issue
Fix issue
Fix a specific issue or problem with the given identifier or description
/fix-pr
Fix pr
Fetch unresolved comments for current branch's PR and fix them
/future-scenario-generator
Future scenario generator
Generate and analyze future scenarios with plausibility scoring, trend integration, and uncertainty quantification.
/generate-api-documentation
Generate api documentation
Auto-generate API reference documentation
/generate-linear-worklog
Generate linear worklog
You are tasked with generating a technical work log comment for a Linear issue based on recent git commits.
/generate-test-cases
Generate test cases
Generate comprehensive test cases automatically
/generate-tests
Generate tests
Generate comprehensive test suite for $ARGUMENTS following project testing conventions and best practices.
/git-status
Git status
Show detailed git repository status
/hotfix-deploy
Hotfix deploy
Deploy critical hotfixes quickly
/husky
Husky
Verify repository is in working state by running CI checks and fixing issues
/implement-caching-strategy
Implement caching strategy
Design and implement caching solutions
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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