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Find your next superpower If you are an agent, refer to our llms.txt for full access.Generate a NullPointer Studio styled PDF penetration test report from findings.json. Produces a professional dark-themed PDF with executive summary, risk dashboard, per-finding cards with business risk, remediation summary, and clean controls section.
Audit report formatting, severity scoring, scorecard computation, and compliance export for document accessibility audits. Use when generating DOCUMENT-ACCESSIBILITY-AUDIT.md reports, computing document severity scores (0-100 with A-F grades), creating VPAT/ACR compliance exports, or formatting remediation priorities.
将需求/原则文档转成可执行开发落地包：计划(含W1-W6任务清单)、安全网(Safety Net)、契约(contracts)、验收(BDD)+单测(TDD)、任务索引与子代理(owner)分工；适用于“换agent也能立刻开干”的项目初始化与文档先行。
Generates CVE request packages from pentest findings. Reads cve-candidates.json (auto-generated at pentest completion) or findings.json directly, then produces for each qualifying vulnerability: MITRE CVE form data, GitHub Security Advisory draft, full disclosure report, and vendor notification email. Invoke manually after a pentest engagement when you have true-positive findings that warrant CVE…
Guides requesting code review at task completion, after major feature implementation, or before merging. Focuses on verifying that the work meets requirements.
Investigate a question against high-trust primary sources and capture the findings as a cited Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to an isolated agent.
Use the /research skill when performing background research from the literature or the web to create a RESEARCH.md file; also covers use of deep-research-client
Investigates topics and gathers documentation or API facts from high-trust primary sources. Captures findings in repository Markdown files.
Systematic web and codebase research workflow for information queries and fact verification. Gathers authoritative sources, executes query chains, evaluates evidence, and synthesizes grounded answers with inline citations.
Focuses on academic research engineering with scientific rigor and objective criticism. Emphasizes theoretical correctness, formal verification, and optimal implementation across required technologies.
Gathers research materials from clustering results, user keywords, or domain descriptions. Produces structured resource lists for each domain, supporting systematic literature and patent collection after domain mapping.
Supports writing machine learning research papers for NeurIPS, ICML, and ICLR. Spans the process from design to submission.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
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Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name