23,615 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Scan text for telltale AI-writing patterns (vocabulary, constructions, punctuation, hedges, closers, formatting, voice) and propose specific rewrites to make it sound human.
★not rated 4 1mo agoA
tokens not measured
originalMIT
Expert C4 Code-level documentation specialist. Analyzes code directories to create comprehensive C4 code-level documentation including function signatures, arguments, dependencies, and code structure. Use when documenting code at the lowest C4 level for individual directories and code modules.
Career management and personal branding engine. Positioning framework, employment coaching, multi-agent CV and cover letter pipeline, DOCX export. Requires setup — run /career-engine:setup after installing.
★not rated 4 1mo agoA
tokens not measured
originalMIT
Advanced MCP server for fetching websites and converting to markdown with AI-powered features and stealth capabilities. Runs locally from the website-to-markdown-mcp npm package.
A MCP Server that extracts and formats video content into structured text, optimized for LLM processing and analysis. Runs locally from the mcp-server-biliscribe Python package.
Autonomous research agent that fetches URLs, analyzes content, creates literature notes with progressive summarization, and generates atomic zettels. Invoked by ai-task-executor for :AI:research: tagged tasks.
Expert guidance for writing high-quality academic and research papers. Use when the user wants to write, structure, revise, or improve academic papers, research articles, conference papers, or technical reports. Provides comprehensive support for all stages from planning to final polish.
Document-level AI humanizer for .docx/.pptx: whole file, selected passages, or flagged text. Runs locally from the humanpen-mcp npm package. Needs 1 environment variable to run.
★not rated 4 1mo agoA
tokens not measured
originalApache-2.0
A writing and editing guide for making Chinese and English text sound natural and less machine-generated, with special attention to Taiwan Traditional Chinese usage. It preserves technical terms, facts, and the responsible subject.
Detect and fix AI writing patterns recursively. Use when: reviewing text for AI tells, cleaning AI-generated drafts, checking for CoT leakage, measuring text perplexity and burstiness, making text sound human, fixing opening diversity. Triggers: filter-tells, ai detection, ai writing, perplexity, burstiness, CoT…
Maintain a review-first Markdown knowledge base for Codex practices with source provenance, engineering capture, citation-aware queries, explicit archive and promotion, and deterministic linting. Use when asked to capture a durable engineering lesson, ingest Codex research, query or archive what the repository knows…
Runs the ste skill's draft-check-fix loop (Steps 3-5) on a cheaper model tier when the ste skill delegates in economy mode. Receives the source text or request, the target language, and the compliance level already chosen by the user; returns the final STE deliverable, the checker report summary, and the TN/TV…
Use this skill whenever the user wants to create, improve, optimize, review, or rewrite a resume, CV, curriculum vitae, or hoja de vida. Triggers include: any mention of 'resume', 'CV', 'curriculum', 'hoja de vida', 'job application', 'ATS optimization', 'resume review', 'cover letter', or requests to prepare…
Record, build, tailor, and review resumes in a single-column ATS-safe house style: keeps an honest experience record the user owns, generates a formatted Google Doc from that record, an interview, or an existing resume file, aims a copy at a specific job description, and audits any resume against a pre-submission…
★not rated 4
changed 5d agoA
tokens not measured
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: