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nlpm
nlpm contiene 32 skills recopiladas de xiaolai, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
The 50 rules of natural language programming. Loaded when writing, reviewing, or improving any NL artifact — skills, agents, commands, rules, hooks, prompts, plugins, and the project memory file (CLAUDE.md / AGENTS.md / GEMINI.md). The definitive style guide for NL code quality.
Use when scoring or writing Claude Code artifacts — covers .claude/ paths, plugin.json schema, command + agent + skill frontmatter, CLAUDE.md, hook events, hooks.json format, settings.json, LSP, monitors, memory file conventions, and the Claude Code built-in tool catalog. Refreshed 2026-06-07 against docs map dated 2026-06-05 (Claude Code ≥ v2.1.16x).
Use when scoring or writing Codex CLI artifacts — covers .codex/config.toml schema, .codex-plugin/plugin.json, .agents/skills/ layout, Codex hook events, AGENTS.md hierarchy, marketplace.json, and the agents/openai.yaml sidecar. Refreshed 2026-06-07 against Codex 0.137.0 (2026-06-04).
Use when scoring or writing Codex CLI artifacts — covers .codex/config.toml schema, .codex-plugin/plugin.json, .agents/skills/ layout, Codex hook events, AGENTS.md hierarchy, marketplace.json, and the agents/openai.yaml sidecar. Refreshed 2026-06-07 against Codex 0.137.0 (2026-06-04).
Use when writing or reviewing NL artifacts and need to check for anti-patterns — vague quantifiers, prohibitions without alternatives, oversized skills, write-on-read-only agents, monolithic prompts, or linter-duplicating rules.
Use when scoring NL artifact quality, applying penalties, or calibrating lint judgment — contains the 100-point rubric with penalty tables per artifact type. Four worked calibration examples (Excellent Agent / Rewrite Agent / Excellent Rule / Weak Rule) live in `references/calibration-examples.md`, loaded on demand when anchoring borderline cases.
Universal NL programming conventions — SKILL.md open spec (agentskills.io), AGENTS.md as canonical universal memory file, vague-quantifier list, prompt engineering layers, naming conventions, the override system. Tool-specific schemas live in nlpm:conventions-claude / nlpm:conventions-codex / nlpm:conventions-antigravity.
Use when scoring or writing Antigravity (or legacy Gemini CLI) artifacts — covers .gemini/ paths, .agent/ workspace skills, gemini-extension.json, GEMINI.md, TOML slash commands, Gemini-lineage hook events. Spec is unsettled (Antigravity 2.0 launched 2026-05-19); many checks are advisory until PR-B verification.
Universal NL programming conventions — SKILL.md open spec (agentskills.io), AGENTS.md as canonical universal memory file, vague-quantifier list, prompt engineering layers, naming conventions, the override system. Tool-specific schemas live in nlpm:conventions-claude / nlpm:conventions-codex / nlpm:conventions-antigravity.
Multi-agent workflow patterns for Claude Code -- parallel dispatch, sequential pipelines, QC gates, retry loops, shared partials. Use when designing systems with multiple agents, commands, or processing stages.
Use when writing or reviewing NL artifacts and need to check for anti-patterns — vague quantifiers, prohibitions without alternatives, oversized skills, write-on-read-only agents, monolithic prompts, or linter-duplicating rules.
The 50 rules of natural language programming. Loaded when writing, reviewing, or improving any NL artifact — skills, agents, commands, rules, hooks, prompts, plugins, and the project memory file (CLAUDE.md / AGENTS.md / GEMINI.md). The definitive style guide for NL code quality.
Use when scoring NL artifact quality, applying penalties, or calibrating lint judgment — contains the 100-point rubric with penalty tables per artifact type and 4 worked calibration examples.
Detects execution surface risks, supply chain vulnerabilities, data exfiltration vectors, and prompt injection patterns in Claude Code plugins. Use when auditing plugins for security risks, reviewing MCP server configurations, scanning hooks and scripts for vulnerabilities, or checking extensions before installation.
Use when writing test specs for NL artifacts, running /nlpm:test, or setting up TDD workflows for skills, agents, commands, rules, hooks, and prompts.
Use when writing, reviewing, or naming any NLPM artifact (command, agent, skill, rule, workflow) — pick the canonical noun or verb from this registry rather than coining a synonym. Loaded by the scorer and checker agents to detect vocabulary drift across artifacts.
How to write Claude Code agents that trigger reliably, use the right model, and produce consistent output. Use when creating, improving, or reviewing agent definitions.
How to write Claude Code hooks -- event selection, hook types, matcher patterns, blocking vs advisory, portable paths. Use when creating hooks for quality gates, automation, or policy enforcement.
How to design and build plugins -- architecture decisions, component selection, file structure, manifest configuration, marketplace publishing. Primarily Claude Code (.claude-plugin/plugin.json); the same architecture maps to Codex CLI (.codex-plugin/plugin.json) and Antigravity extensions. Use when planning, creating, or reviewing a plugin.
How to write effective system prompts for any LLM. Universal prompt engineering -- role clarity, structured output, injection resistance, few-shot examples. Use when writing prompts, system instructions, or AI configuration.
How to write .claude/rules/ files that Claude actually follows. Use when creating, improving, or reviewing project rules.
How to write SKILL.md files that trigger reliably and teach effectively. Use when creating, improving, or reviewing skills for any tool — SKILL.md is the cross-tool open spec (agentskills.io), read identically by Claude Code, Codex CLI, and Antigravity.
How to write Claude Code agents that trigger reliably, use the right model, and produce consistent output. Use when creating, improving, or reviewing agent definitions.
How to write Claude Code hooks -- event selection, hook types, matcher patterns, blocking vs advisory, portable paths. Use when creating hooks for quality gates, automation, or policy enforcement.
How to design and build plugins -- architecture decisions, component selection, file structure, manifest configuration, marketplace publishing. Primarily Claude Code (.claude-plugin/plugin.json); the same architecture maps to Codex CLI (.codex-plugin/plugin.json) and Antigravity extensions. Use when planning, creating, or reviewing a plugin.
How to write .claude/rules/ files that Claude actually follows. Use when creating, improving, or reviewing project rules.
How to write SKILL.md files that trigger reliably and teach effectively. Use when creating, improving, or reviewing skills for any tool — SKILL.md is the cross-tool open spec (agentskills.io), read identically by Claude Code, Codex CLI, and Antigravity.
Use when scoring or writing Antigravity (or legacy Gemini CLI) artifacts — covers .gemini/ paths, .agent/ workspace skills, gemini-extension.json, GEMINI.md, TOML slash commands, Gemini-lineage hook events. Spec is unsettled (Antigravity 2.0 launched 2026-05-19); many checks are advisory until PR-B verification.
Use when writing, reviewing, or naming any NLPM artifact (command, agent, skill, rule, workflow) — pick the canonical noun or verb from this registry rather than coining a synonym. Loaded by the scorer and checker agents to detect vocabulary drift across artifacts.
Detects execution surface risks, supply chain vulnerabilities, data exfiltration vectors, and prompt injection patterns in Claude Code plugins. Use when auditing plugins for security risks, reviewing MCP server configurations, scanning hooks and scripts for vulnerabilities, or checking extensions before installation.
Multi-agent workflow patterns for Claude Code -- parallel dispatch, sequential pipelines, QC gates, retry loops, shared partials. Use when designing systems with multiple agents, commands, or processing stages.
How to write effective system prompts for any LLM. Universal prompt engineering -- role clarity, structured output, injection resistance, few-shot examples. Use when writing prompts, system instructions, or AI configuration.