Shape agent capabilities into your workflow.

MindMirror guides a Skill-capable assistant toward warmer Chinese emotional conversations: empathy before advice, optional step-by-step self-screening, and a crisis response path for urgent signals. It does not diagnose, prescribe, or replace professional care. The early release has limited calibration samples and model coverage, so it should not be treated as a finished clinical tool.

md2mindmap converts a local Markdown file or online Markdown URL into an interactive Markmap HTML file with zoom, folding, and PDF export. It can also create a Lark or Feishu whiteboard, or produce both formats. Users choose language, depth, format, and publishing; Feishu output needs authenticated lark-cli, while online input and deployment need network access.

Body Root Cause Skill uses questions, a persistent health record, and Bayesian updates to organize possible causes behind skin, fatigue, sleep, and related concerns, then separates root, trigger, and maintaining factors. It tracks exams, medicines, supplements, and outcomes across conversations, while staying focused on oral supplements. It does not diagnose; worsening or persistent symptoms still call for medical care.

Bazi Master uses deterministic Python calculations for the Four Pillars, then applies rules drawn from nine classical texts to produce a 19-chapter HTML report covering the chart, career, relationships, luck cycles, and annual trends. It also includes a historical calibration chapter and compatibility analysis. The project presents Bazi as traditional cultural reference, not medical, investment, or marriage advice.

Paste a draft and state whether it is final, working, rough, or student-level. The skill runs five review lenses, cross-checks their findings, applies standards suited to the paper type, and returns a referee letter, dimension scores, and an Accept, Minor Revision, Major Revision, or Reject recommendation. It runs through Claude, Codex, or a portable prompt, but is intended to assist rather than replace human peer review.

Provide papers and a central argument, and the skill can draft literature reviews, proposals, paper sections, statements of purpose, or résumés using only the supplied sources. It checks that in-text citations match the source pool and sets aside papers that do not support the thesis. This lite workflow does not find papers for you, and its citation check is not a line-by-line verification of every quotation or claim.

Hemingway Skill reviews marketing copy, technical documents, blog posts, specifications, and other writing for clarity and economy. It flags long or complex sentences, passive voice, weakening adverbs, jargon, hedging, and empty constructions, then explains the issues and proposes rewrites. Outputs can include readability statistics, a fully revised version, and takeaways, with modes for quick review, focused checks, shorter copy, or specific content types.

Complete a guided self-discovery interview, which can be split across sessions, and the skill produces two Markdown files: one describing your context and patterns, and another defining how you want an AI to collaborate with you. Paste them into future conversations to reduce generic advice and re-establish context across tools. The interview allows skipped questions and is designed not to collect direct identifiers such as your real name, phone number, ID, exact birthdate, or home address.

web-legal-audit performs an external review of a website URL across GDPR-related obligations, Spanish e-commerce rules, AEPD cookie guidance, WCAG 2.2, the European Accessibility Act, HTTP security headers, and advertising claims. It produces a structured DOCX report and a remediation plan with sample policy text and code snippets. Estimated penalties are based on public precedents and the project explicitly treats the output as guidance, not legal advice.

Give this skill a goal, brief, transcript, or existing backlog, and it builds a user story map around the project’s current context. It interviews for missing decisions, slices work into a feasible first release, prioritizes stories with WSJF, RICE, or MoSCoW, and can add acceptance criteria and an end-to-end test contract. It is designed for Claude Code and other hosts that support the Agent Skills standard.

Timeback notices where work sessions consume time, offers an optional five-minute drill between tasks, and saves the result as a named playbook that can be run again. Practice starts with fake data, and success means the new habit sticks rather than merely receiving a positive response. The early release ships with a cold-email example.

anti-crack-skill gives an agent or human reviewer a checklist for testing client-side licensing and anti-crack defenses. It examines activation gates, local license storage, device binding, server checks, developer tools, backend scripts, and offline bypasses, then adds platform-specific checks for Electron, mobile apps, cross-platform frameworks, native languages, CLI tools, and games. Its central constraint is that client code should not be treated as the only security boundary.

Google Ads Keyword Classifier organizes Keyword Planner exports by search intent, including negative, competitor, branded, category, feature or problem-aware, comparison, and informational terms. It filters low-volume or irrelevant entries, assigns primary, backup, or excluded status, and samples regional SERPs to check the classification. The result is a four-sheet Excel workbook with the keyword list, counts, competitor terms, and negative keywords for campaign planning.

TikTok Slideshow Command Center turns a product, niche, or creator idea into a planned photo-carousel system. It identifies an audience and content angle, scores ideas with an opportunity matrix, writes slide-by-slide captions and visual direction, and maps a seven-day posting cadence with reuse rules. The output can be built manually in TikTok, CapCut, or Canva, or passed to Vyral for rendering. An offline HTML board supports planning without an account or internet connection.

X Account Teardown reconstructs an X account’s growth arc from exported public posts, highlighting inflection points, content pillars, cadence, reply behavior, hook patterns, and a growth-curve proxy. It can pull cookies from a logged-in Chrome profile and work around the usual tweet cap with date windows. Follower curves are not public, deleted or followers-only posts are unavailable, and the project is for research.

AI Humanizer detects which English sentences appear machine-written, rewrites only those passages, and verifies protected terms, numbers, citations, and domain names after each round. It uses a keyless detector as a proxy rather than a separate paraphrase API, and documents that scores vary by domain and tool. The project frames it for legitimate editing and research, subject to institutional and publisher policies.

Define the goal, non-goals, and a verifiable done condition, and the skill scaffolds the vision, specs, plan, prompts, and Bash engine for a repeatable loop. After one plan approval, a maker and separate verifier iterate one task at a time, run checks, and commit checkpoints. It is designed for a single-machine Git repository and needs the claude CLI for unattended runs; you still review the final diff and evidence.

Tell Claude what report, paper, thesis chapter, CV, poster, or other document you need, and this skill drives LaTeX Forge through the full workflow. It selects a built-in or gallery template, scaffolds the project, fills metadata and sections, builds and fixes LaTeX errors, then exports the sources and PDF as a submission-ready archive. It requires Claude Code, Python 3.10+, pipx, and a local LaTeX distribution.