Browse
Search and filter by type across the catalog
1,340 results in Skills, Memory, Identity, Hooks · page 14 of 56
computer-use-agents
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.
configure-harness
Interactive installer for Everything Claude Code — guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.
connections-optimizer
Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-s…
constitutional-ai
Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety alignment, reducing harmful outputs without human labels. Powers Claude's safety system.
content-creator
Create SEO-optimized marketing content with consistent brand voice. Includes brand voice analyzer, SEO optimizer, content frameworks, and social media templates. Use when writing blog posts, creating social media content, analyzing brand voice, optimizing SEO, planning content calendars, or when user mentions content creation, brand voice, SEO optimization, social media marketing, or content strategy.
content-engine
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
content-research-writer
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
context-timeline
Real-time browser visualization of Claude Code's context window and subagent/tool execution as a git-graph timeline. Opens http://localhost:7878 on SessionStart with a vertical timeline (most recent on top), one column per agent (main + subagents branching from their Task tool call). Tool calls are color-coded by type (Read=green, Edit/Write=orange, Bash=red, Grep/Glob=cyan, Task=purple, Web=yellow, MCP=gray). Right sidebar shows context-window usage (tokens/200K) with cache_read/cache_creation/input/output breakdown plus per-subagent mini-context. Reads ~/.claude/projects/<encoded-cwd>/<session_id>.jsonl directly — no data replication, no network calls. Pure stdlib Python, zero pip dependencies. Persistent daemon HTTP server on port 7878 (auto-fallback 7879-7888 if busy; override with CONTEXT_TIMELINE_PORT env var). Watchdog auto-shutdown after 1h of inactivity. Disable browser auto-open with CONTEXT_TIMELINE_NO_BROWSER=1. Manual shutdown: python3 .claude/hooks/context-timeline.py --shutdown
context-timeline-2
context-timeline: Claude Code session visualizer. Modes (called by Claude Code hooks via stdin JSON): --server-start SessionStart hook — launch daemon + open browser --event <NAME> PreToolUse / PostToolUse / Stop hook — notify server --shutdown Kill daemon manually --run-server <PORT> Internal: daemon entry point (do not call directly)
context-window-management
Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context.
continuous-learning-v2
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
conventional-commits
Enforce conventional commit message format for all git commits. Validates commit messages follow the pattern: type(scope): description. Supported types: feat, fix, docs, style, refactor, perf, test, chore, ci, build, revert. Ensures consistent commit history for changelog generation and semantic versioning.
conventional-commits-2
❌ Invalid commit message format Your message: {commit_msg} Commit messages must follow Conventional Commits: type(scope): description Types: feat: New feature fix: Bug fix docs: Documentation changes style: Code style changes (formatting) refactor: Code refactoring perf: Performance improvements test: Adding or updating tests chore: Maintenance tasks ci: CI/CD changes build: Build system changes revert: Revert previous commit Examples: ✅ feat: add user authentication ✅ feat(auth): implement JWT tokens ✅ fix: resolve memory leak in parser ✅ fix(api): handle null responses ✅ docs: update API documentation Invalid: ❌ Added new feature (no type) ❌ feat:add feature (missing space after colon) ❌ feature: add login (wrong type, use 'feat') 💡 Tip: Start your message with one of the types above followed by a colon and space.
copy-editing
When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes.