Total 57,735 skills
Showing 12 of 57735 skills
Route a contract issue to the right approver per the escalation matrix in `~/.claude/plugins/config/claude-for-legal/commercial-legal/CLAUDE.md`, and draft the ask. Use when the user says "who needs to approve this", "escalate this", "does this need GC sign-off", "route this for approval", or when another skill finds an issue that exceeds the reviewer's authority.
Use for iOS / Xcode build, run, test, clean/DerivedData, and simulator workflows in projects that have an `.xc-dev/` directory. Routes work through `xc-dev <task>` or builtins like `:clean` instead of raw `xcodebuild`.
Draft an audience-specific summary from the privileged investigation memo — HR, leadership, or outside counsel versions. Use when an investigation memo needs to be communicated to an audience that should not see the full privileged work product.
De-AI-ifies and tightens academic prose without changing any technical claim. Use when a researcher says "this sounds like ChatGPT / AI-written", "humanize my paper", "remove the AI words", "too many delves and leverages", "polish my writing", "tighten the prose", "fix my hedging", "too many Moreover/Furthermore", "make my contributions active", or "keep my terminology consistent". Runs deterministic stdlib linters — prose_lint.py (leftover chatbot artifacts, LLM-tell vocabulary, connective stacking, em-dash density, double hedges, overclaiming boosters, passive contribution statements) and terminology_check.py (dataset/data set/data-set variants, acronym discipline, -ise/-ize mixing, glossary enforcement) — then drives a section-by-section edit pass using rewrite catalogs and the venue family's register norms. Numbers, results, claims, and citations are never altered; the venue's AI-use disclosure policy is surfaced and respected, never dodged.
Uninstall a community skill that was installed via the hub. Confirms before deleting files, refuses to touch first-party plugin skills, and logs every action. Use when the user wants to fully remove a community skill ("uninstall [skill]", "remove this skill") rather than just disable it.
Detects when Luminance, Kira, or a similar bulk-review tool is in use, hands off the high-volume clause extraction to it, and QAs its output per the trust level in `~/.claude/plugins/config/claude-for-legal/corporate-legal/CLAUDE.md`. Use when user says "send to Luminance", "bulk review", "AI extraction", or when diligence-issue-extraction hits a high-volume category.
Drafts or rewrites a Related Work / prior work section positioned against actually-retrieved papers — derives the REQUIRED clusters from the paper's own claimed scope (not just whatever was retrieved), clusters prior work into themes, articulates the delta (what this paper adds) per cluster, enforces a per-cluster citation floor and routes empty expected clusters back to find-papers, follows the target community's placement and citation conventions (numeric ACM/IEEE vs natbib author-year, single- vs double-blind self-citation, where the section sits at NeurIPS/CHI/SIGMOD-style venues), and admits only verified citations. Use when the user says "related work", "prior work", "position my paper against the literature", "how do we differ from X", "reviewers said related work is thin/missing/a laundry list", or asks to add citations to a draft. Works from papers found via find-papers and/or an existing .bib — it never invents references.
Reference: detailed uninstall, disable, and re-enable workflows for community skills installed via the legal builder hub. Safe by default — refuses to touch first-party plugin skills, confirms before removing files, and logs every action. Loaded by the /legal-builder-hub:uninstall and /legal-builder-hub:disable skills.
Reference: shared framework for managing internal investigations from intake through final memo — privileged investigation log, document processing with needle-finding, source coverage tracking, Q&A against the log, memo drafting, and audience summaries. Loaded by /investigation-open, /investigation-add, /investigation-query, /investigation-memo, and /investigation-summary; not invoked directly.
Chinese Resume-Driven Interview Prediction and Deep Grilling Skill: Reads the user's resume and target job position, extracts experience Claims that need verification, predicts high-probability interview questions, and identifies knowledge gaps that are listed on the resume but cannot be clearly explained through layered questioning; activated when the user inputs "/interview", requests interview prediction, mock interviews, resume grilling, stress interviews, or checks resume mastery.
Evidence-based resume authenticity audit and report generation skill. This skill should be proactively used when users request resume verification, resume fraud detection, candidate experience investigation, GitHub/open source contribution analysis, identification of role inflation from contributor to maintainer/core author, verification of Sino-foreign cooperative education or school titles, business indicator checks, sorting out public disputes, or production of HTML/PDF reports from investigation results. This skill breaks down resumes, screenshots, links, posts, code repositories, and official records into atomic claims, distinguishes between facts, contradictions, accusations, and unverifiable information, and generates self-contained evidence reports that do not include doxxing information and do not present unsubstantiated accusations as facts.
Generate "ASU-style" high-density Chinese technical resumes or Xiaohongshu showcase resumes based on users' real experiences: retain real names, schools, companies, departments, projects and verifiable metrics, proactively retrieve official school titles, enhance expression with colored experience bars, background/metrics/responsibility structure, English technical terms, architecture links, Benchmark, module-level Owner, 0→1 and large Scope narratives, and output self-contained HTML, A4 PDF and publishing images. Use this when users mention ASU style, ASU-style resumes, professional term stacking, technical experience packaging, Xiaohongshu resume long images, school titles, Owner/0-1 or require HTML/PDF. Do not fabricate non-existent educational backgrounds, companies, projects, roles, offers, metrics or achievements; exaggeration must be based on verifiable institutional labels, limited modules and real technical chains.