Total 53,920 skills, AI & Machine Learning has 8968 skills
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Remove unwanted objects, people, text, and imperfections from photos using each::sense AI. Clean up images with intelligent inpainting that seamlessly fills removed areas.
A template for creating new AceDataCloud Agent Skills. Copy this directory and customize.
For use when students **have completed WG-12 to WG-21** (single-file consolidation blueprint) and are working on **WG-22 Code Splitting** (`agent_core.py` + `main.py`). **First message in a new session**: Display PEAS brand screen and confirm readiness first; after confirmation, **lay out the context** before proceeding to requirement clarification. If **`prompts/` or `templates/`** are missing, copy them from `references/project_assets/` to the project root. Process: Spec Alignment (2d′) → Six-column Contract → **In-session Handoff Implementation** → Acceptance. Starting point: starter_main_wg21.py; Standard reference: reference_agent_core.py + reference_main.py. Triggers: peas-workshop-advanced-coach, PEAS workshop advanced coach, WG-22, code splitting coach, Agent.chat.
Build modular Agentic RAG systems with LangGraph, featuring hierarchical indexing, conversation memory, and multi-agent query processing
Use this skill when the user wants to audit Agent Skills, SKILL.md files, imported skills, prompts, tools, scripts, or skill repositories for safety, prompt injection risk, secret leakage, unsafe commands, unclear permissions, untrusted external references, or repo policy violations. Trigger phrases include "audit this skill," "skill security," "review imported skills," "prompt injection risk," "unsafe skill," "scan skills," and "security audit for skills."
Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.
Generate descriptive chat titles from the first message using a fast LLM. Runs as a background workflow step after the main response to avoid delaying the experience.
Delegate implementation work to the coder agent. Provide requirements or feature file path.
Meta-skill for building and managing agent persona skill packs. Use when the user wants to create a new agent persona, install/manage existing personas, or publish persona skill packs to ClawHub.
EMIT phase. Pre-emit debug, write files, post-emit verify from disk. Any new unknown triggers immediate snake back to planning — restart chain.
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user says reflect.
Carve guardrail-adjacent items out of scope with safe alternatives before risk-adjacent work starts, then run the safe remainder at full strength in a fresh subagent that only ever sees the carved prompt, never the risky input. Use when a task includes stealth, scraping, privacy, IP, policy, licensing, security, or other safety-adjacent material that could be silently dropped, over-elaborated, or needlessly diluted. Fires on the impulse, not only the topic: the moment you notice yourself about to hedge, soften, silently skip, or brace for a refusal, carve before you execute.