Results for “claude-p-mode”

Converts human-written CLAUDE.md files into a structured-label format that AI models follow more reliably while using fewer tokens.

Converts human-written CLAUDE.md files into a structured-label format that AI models follow more reliably while using fewer tokens.

Convert human-written CLAUDE.md files into a structured label format that AI models follow more reliably using fewer tokens.

Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.

Guides Claude in writing idiomatic, efficient, well-structured Rust code using proper data modeling, traits, impl organization, macros, and build-speed best practices. TRIGGER when working on .rs files or Rust projects (Cargo.toml present).

Operate and extend NanoClaw v2, a zero-dependency session-aware REPL built on claude -p, with commands for model switching, skill loading, session branching, search, compaction, export, and metrics.

Synchronizes Claude skills from the skills repo (github.com/Theycallmeholla/skills) to the local ~/.claude/skills directory, ensuring local skills match the repo's latest versions. Compares each skill to detect new or changed content, creates a tarball for manual Claude app upload, and preserves local-only skills that aren't in the repo. Use when the user says "push skills out", "sync repo to local", "update my local skills from the repo", "distribute skills", "my local skills are stale", "refresh skills from github", or after pulling updates from the skills repo. Runs in dry-run mode by default to preview changes before applying them with --apply.

Switches Claude Code into a teaching-first mode for unfamiliar technologies, explaining concepts and commands step by step without writing code until approved.

Toggle the statusline quota pace indicator (mode/theme)

Graduate a proven pattern from auto-memory (MEMORY.md) to CLAUDE.md or .claude/rules/ for permanent enforcement.

A comprehensive verification system for Claude Code sessions.

\"What should I work on next?\" — two modes. Fast mode (default): one-shot recommendation from docs + git state, ≤10 lines, no interview. Deep mode (`/next deep` or when user asks to explore priorities): multi-round interview to surface the best move.

Claude Code 会话的全面验证系统。

Secure-by-default environment variable management for Claude Code sessions.

Converts human-written CLAUDE.md files into a structured-label format that AI models follow more reliably while using fewer tokens.

Converts human-written CLAUDE.md files into a structured-label format that AI models follow more reliably while using fewer tokens.

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

Modern C++ (C++17/20/23) language and standard library. Covers RAII, move semantics, smart pointers, templates, concepts, ranges, coroutines, modules, std::expected, std::format, std::span, std::string_view. USE WHEN: user mentions "C++", "modern C++", "C++17/20/23", "RAII", "smart pointers", "templates", "concepts", "ranges", "move semantics", "std::expected", "std::span", "coroutines", "modules", "STL" DO NOT USE FOR: C (use a C-specific skill), C# (use `csharp`), Objective-C++, Carbon, kernel/no-exception subset (use `cpp-systems`)

Imported skill claude from vercel

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns, file paths, content patterns), enforcement levels (block, suggest, warn), hook mechanisms (UserPromptSubmit, PreToolUse), session tracking, and the 500-line rule.

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

Text Claude from your phone — set up the njerschow/textme daemon so inbound iMessages drive a Claude Code session on your laptop, with voice notes, image input, code execution, and a phone-number whitelist.

PUA Loop — guided iterative development with recurring checks, completion evidence, and pause/abort markers. Use only when the user explicitly asks for loop/自动迭代 mode.

Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

Delegate coding to Claude Code CLI (features, PRs).