
Article Writing from affaan-m’s ECC project. Use it to write polished blog posts, guides, tutorials, essays, newsletters, and other long-form content from notes, research, transcripts, or brand guidance. It helps shape structure, match a distinctive voice, strengthen pacing and evidence, and remove generic AI-style writing while keeping claims grounded and credible.

Turn your skills and preferred markets into focused opportunity research. Build your profile, assess public sources and receive prioritised Markdown, CSV and JSON reports with reasons for relevance and open questions. You choose whom to contact; jobs, clients and income are not guaranteed.

Stop copy-pasting prompts from a doc. Research Writing Assistant routes your academic writing task to the right expert prompt automatically — translation (ZH↔EN, LaTeX & Word), polishing, compression, expansion, de-AI, figure generation, caption writing, experiment analysis, mock review, and chart recommendation. Built from workflows used at MSRA, ByteDance Seed, and top CS PhD programs.

A bundle of 11+ research skills for Codex and Claude Code covering the publishing pipeline: publication-ready figures, Nature-style English polishing, manuscript drafting, citation export, literature search, paper-to-slides, and reviewer-response letters. The rules come from published Nature papers and official journal guidelines, not generic style tips, so output reads like a seasoned author's. Built for researchers and labs: send a PDF, a draft, or Chinese notes and get usable files back.

Your draft has blind spots. A structured three-lens check finds them before your readers do. For bloggers, newsletter writers, and note creators — anyone publishing text that represents their brand. What you walk away with: - A quality score (0–100) with a pass/fail threshold - 5–10 concrete, copy-paste rewrites — not vague "improve this" notes - Flags for claims that need a source - A readability check for your audience Runs in under 90 seconds. No API key. Works offline. $19 once.

Market Research from affaan-m’s ECC project. Use it for market sizing, competitive analysis, investor due diligence, technology scans, and other business research. It gathers sourced evidence, flags stale data, includes risks and counterarguments, separates facts from inference, and turns findings into clear, decision-oriented recommendations.

Literature Review from affaan-m’s ECC project. Use it to plan, run, and document academic or technical literature reviews, from research-question framing and database search to deduplication, screening, evidence extraction, thematic synthesis, gap finding, and citation verification. Supports narrative, scoping, systematic reviews, and meta-analysis workflows.

Scholar Evaluation from affaan-m’s ECC project. Use it to review research papers, proposals, literature reviews, thesis chapters, and other academic work with a structured 1–5 rubric. Evaluate research questions, literature, methodology, evidence, analysis, results, limitations, writing, and citations, then return clear scores, critical issues, revision priorities, and evidence checks.

Based on an MIT-licensed open-source agent skill. Unofficial and not affiliated with ASD or STEMG.