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
rip the JSON out of the chatter. — extract and repair valid JSON buried in chatty LLM output (fences, trailing commas, Python literals).
Plugin salvage from marketplace bag-of-tricks in JGalego/Bag-of-Tricks. Commands read from the repo's manifest — 1 month ago.
salvageExtract and repair valid JSON buried in chatty model output — strip the preamble, the ```json fence, the trailing comma, the // comments, the Python True/False/None, and the smart quotes, then emit clean parseable JSON. Use when a tool, downstream parser, or pipeline needs strict JSON but the source
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
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Package any website or local web build into a lightweight desktop app with Pake CLI.
1 skill
Action-first, ADHD-friendly output shaping for Claude Code.
1 skill · hooks
Build powerful, stateful CLI interfaces for any GUI application using the cli-anything harness methodology.
5 commands
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
Persistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions
17 skills · 1 MCP server · hooks
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