alibi
claudedoes the story check out? — flag answer claims that aren't supported by the provided sources (a lexical grounding check for RAG).
1 skill
we know your prints. — guess which model wrote a passage from its stylistic fingerprints (a heuristic, not proof).
Plugin mugshot from marketplace bag-of-tricks in JGalego/Bag-of-Tricks. Commands read from the repo's manifest — 1 month ago.
mugshotGuess which model or family likely wrote a passage from its stylistic fingerprints, and show the matched tells. Profiles common styles — gpt-ish ("Certainly!", "I'd be happy to", bold headers, numbered listicles), claude-ish (leading "I'll/Let me/Here's", em-dashes, "Great question"), and the univer
does the story check out? — flag answer claims that aren't supported by the provided sources (a lexical grounding check for RAG).
1 skill
call its bluff. — extract the URLs and citations from an answer and check they actually resolve, catching hallucinated links.
1 skill
pull the whole routine. — chain tricks into one pipeline so the output of one flows into the next: `combo "frisk | launder | deadpan"`.
1 skill
the answer. nothing else. — strip LLM replies of personality, filler, hedging, emoji, and sycophancy.
1 skill
know when to fold. — catch overconfident phrasing and absolutes so the model hedges or abstains instead of bluffing.
1 skill
pat it down before it ships. — scan text headed to the model for secrets and PII (API keys, tokens, private keys, emails) and redact or flag them.
1 skill
Claude API and SDK documentation skill for building LLM-powered applications
19 skills
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
2 skills · 2 commands · 2 agents · 1 MCP server
Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
hooks
Design fluency for frontend development. 1 skill with 24 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.
1 skill · 4 agents · hooks
Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations
24 skills · 1 command · 1 agent · hooks
Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
1 skill
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