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Found 1,123 Skills
Create, share, view, comment on, edit, and run human-in-the-loop review loops over markdown documents via Proof, the collaborative markdown editor at proofeditor.ai ("Proof editor"). Use when the user wants to render or view a local markdown file in Proof, share markdown to get a URL, iterate collaboratively on a Proof doc, comment on or suggest edits in Proof, HITL a spec/plan/draft for human review, sync a Proof doc back to local, or work from a proofeditor.ai URL. Trigger on phrases like "view this in proof", "share to proof", "iterate with proof", or "HITL this doc", and on ce-brainstorm / ce-ideate / ce-plan handoffs for human review. Also match clear requests for a rendered/shared markdown review surface even if the user does not name Proof. Do not trigger on "proof" meaning evidence, math/logic proof, burden of proof, proof-of-concept, or bare "proofread this" requests where inline text review is expected.
Fix markdown table alignment and spacing issues. Use when formatting tables in markdown files, aligning columns, normalizing cell padding, or ensuring proper GFM table structure. Runs a Python script to normalize column widths while preserving alignment markers.
Build full-text bilingual, figure-aware, source-grounded Markdown reading files for journal or conference papers from PDF, DOI, arXiv, publisher HTML, or pasted text. Use whenever the user asks to translate an entire paper, make a complete markdown reader, preserve figure or table placement near the relevant prose, or keep exact source anchors for every block. Do not use this for summaries, bullet-keyword notes, or citation-only tasks.
Guides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. Use when users ask how to install, configure, operate, troubleshoot, secure, or learn NemoClaw with an AI coding assistant. Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, nemoclaw mcp docs, nemoclaw install help, nemoclaw quickstart, nemoclaw markdown docs, llms.txt, agent skills.
Synthesizes raw learnings and codebase analysis into an interlinked Markdown Knowledge Base (KB). Use at the beginning of a loop to build or update architecture.md, entities, and vulnerabilities. Don't use for generating threat models or formulating execution plans.
Use when needing to scrape documentation websites into markdown for AI context. Triggers on "scrape docs", "download documentation", "get docs for [library]", or creating local copies of online documentation. CRITICAL - always analyze sitemap first before scraping.
Generate standalone HTML reports from JSON/Markdown.
Define rich content structures using Intlayer content nodes. Use when the user asks to "create translations", "handle pluralization", "use markdown in content", or implement "conditional content".
Convert single-file task backlogs (TASKS.md format) to AutoClaude multi-file spec structure. Use when the user wants to (1) convert existing TASKS.md or similar task backlog files to AutoClaude specs, (2) initialize a new project with AutoClaude-compatible task structure, (3) migrate task definitions from simple markdown to the multi-file spec format with requirements.json, context.json, implementation_plan.json. Triggers on phrases like "convert tasks to AutoClaude", "set up AutoClaude specs", "migrate backlog", "create spec from task".
Updates the HWPX-Markdown differences documentation when a new conversion issue is found or a new handling method is implemented. Use this skill when fixing HWPX parsing issues, adding new format handling, or discovering incompatibilities between HWPX and Markdown.
Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says "archive this". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.
WeChat Official Account Article Aggregator. Batch fetch the latest article list of specified WeChat Official Account authors via the mptext.top API, download article content and parse it into Markdown/HTML/plain text formats. It supports fetching by official account name or fakeid, and comes with 8 popular AI tech official accounts pre-configured. Applicable scenarios: fetch the latest articles of specified official accounts, batch crawl content from multiple authors, aggregated reading of official account articles, technical information collection. Keywords: official account article acquisition, WeChat article crawling, official account aggregation, article collection, mptext API.