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Claude Skills by ThomasMoreAI
github.com/ThomasMoreAI20,252 skills4 installs4,077 views
- Reg S OfferingProvides guidance on Regulation S offerings of securities under U.S. law. Helps determine eligibility for Regulation S exemption, identify applicable transaction categories (1, 2, or 3), understand safe harbor requirements under Rules 903 and 904, and navigate distribution compliance periods. Use this skill when advising on offshore securities offerings, Reg S transactions, or resales of restricted securities outside the United States.Votes: 0GitHub stars: 85
- Saft ReviewSAFT (Simple Agreement for Future Tokens) review and advisory skill for crypto founders, token issuers, and investors. Use when user (1) uploads a SAFT/token warrant for review, (2) asks questions about how SAFTs work, (3) requests to draft a SAFT, or (4) asks about token fundraising structures. Triggers on keywords like SAFT, token warrant, token side letter, future tokens, token sale, ICO, TGE, token generation event, vesting, lockup, crypto fundraising.Votes: 0GitHub stars: 85
- Startup Due DiligenceLegal due diligence review for seed-stage and Series A startups (US, Delaware C-Corp focus). Supports both investor and founder perspectives. Capabilities include: (1) Interactive document review and issue spotting; (2) Document request list generation; (3) Cap table and SAFE/convertible note analysis; (4) Red flag identification with severity ratings; (5) Diligence report generation. TRIGGERS: due diligence, DD, startup investment, cap table review, Series A, seed round, investor diligence, ...Votes: 0GitHub stars: 85
- Term Sheet ReviewReview VC term sheets for pre-seed, seed, and Series A rounds. Analyzes each clause from investor or startup perspective, identifies investor-friendly vs. founder-friendly terms, flags deviations from market standards, and provides negotiation guidance. Use when reviewing any VC term sheet, evaluating investment terms, or preparing for funding negotiations. Triggers on term sheet, VC financing, Series A, seed round, liquidation preference, anti-dilution, protective provisions.Votes: 0GitHub stars: 85
- Us Investoren AdrFür US Investoren Adr: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.Votes: 0GitHub stars: 85
- Write Board Resolution JeffreytseUse when drafting a formal board resolution to authorize corporate actions, approve transactions, appoint officers, or document board decisions with legal effectVotes: 0GitHub stars: 85
- Write Shareholder Agreement JeffreytseUse when drafting or reviewing a shareholder agreement for a startup, private company, or joint ventureVotes: 0GitHub stars: 85
- Criminal Defense JudicialmindCriminal defense law skill for defense representation and criminal proceedings. Use when the user needs assistance with criminal charges, motions practice, discovery, plea negotiations, sentencing, or appeals. Triggers on keywords like "criminal", "felony", "misdemeanor", "indictment", "arraignment", "bail", "plea", "sentencing", "probation", "appeal", "suppression", "Miranda", "Fourth Amendment".Votes: 0GitHub stars: 85
- Physsec Firearms And Self Defense Law The Vibey ProjectUse when a firearms or self-defense law question comes up, stated as of September 2026 and to be verified before relying on it — 18 U.S.C. § 922(g) and its prohibited categories including unlawful drug users, Form 4473 and NICS, Heller, McDonald, Bruen, Rahimi and United States v. Hemani, the 2026 NFA tax change and the Jensen v. ATF and Brown v. ATF litigation, FOPA interstate transport; and South Carolina's 2024 permitless-carry act with its location restrictions and alcohol-premises rule, ...Votes: 0GitHub stars: 85
- Fedramp SushegaadExpert guidance for FedRAMP certification and compliance under CR26 (FedRAMP Consolidated Rules for 2026). Use this skill whenever a user asks about FedRAMP authorization, ATO (Authority to Operate), cloud security for federal government, NIST SP 800-53 controls, CSP compliance, or any of the core FedRAMP document types: SSP, SAP, SAR, POA&M, CIS/CRM workbooks. Also trigger for questions about FedRAMP Certification Classes (A, B, C, D — new baseline labels: A = pilot/transitional, B = LI-SaaS...Votes: 0GitHub stars: 85
- Nist 800 53 SushegaadNIST SP 800-53 Rev 5 compliance advisor — all 20 control families (AC, AT, AU, CA, CM, CP, IA, IR, MA, MP, PE, PL, PM, PS, PT, RA, SA, SC, SI, SR), Low/Moderate/High baseline selection, FIPS 199/200 system categorization, control tailoring and overlays, privacy controls (PT family), supply chain risk management (SR family), assessment procedures (SP 800-53A), OSCAL, RMF integration (SP 800-37), and mapping to FedRAMP, FISMA, CMMC 2.0, and ISO 27001. Use for any federal system security control...Votes: 0GitHub stars: 85
- Soc2 Audit Prep Alirezarezvani/cs:soc2-audit-prep <scope> — SOC 2 Type II readiness 6-question forcing interrogation. Observation-period focused. Use before Type II observation begins, mid-period checkpoint, or pre-field-test month-10 readiness.Votes: 0GitHub stars: 85
- Soc2 SushegaadExpert SOC 2 compliance assistant covering all five Trust Services Criteria (Security/CC, Availability/A, Confidentiality/C, Processing Integrity/PI, Privacy/P). Use this skill whenever a user mentions SOC 2, Trust Services Criteria, SOC 2 Type 1 or Type 2, audit readiness, compliance gaps, control documentation, evidence collection, vendor risk questionnaires, or anything related to AICPA service organization controls. Trigger even for adjacent topics like "we need to get audited", "a custom...Votes: 0GitHub stars: 85
- Tsa Compliance SushegaadExpert TSA cybersecurity compliance advisor for critical infrastructure owners and operators. Use this skill whenever a user asks about TSA Security Directives for pipelines, freight railroads, passenger rail, public transit, or bus operators; the TSA Cyber Risk Management Program (CRMP); Cybersecurity Implementation Plan (CIP); Cybersecurity Operational Implementation Plan (COIP); Cybersecurity Assessment Plan (CAP); incident reporting to CISA; designation of a Cybersecurity Coordinator; Cri...Votes: 0GitHub stars: 85
- Arckit Us Privacy Pia Tractorjuice[COMMUNITY] Generate a Privacy Impact Assessment under E-Government Act §208 and OMB M-03-22 for a US federal civilian system handling PII, including Privacy Act §552a alignment and SORN trigger check.Votes: 0GitHub stars: 85
- Ccpa Cpra MauriciodelrioUse this skill when developing software that collects, stores, or processes personal information from users. Although CCPA/CPRA is California legislation, this skill applies as a privacy standard for any software regardless of the geographic location of users. Covers consumer rights (know, delete, correct, portability, opt-out), data model, DNSS opt-out with GPC, notice at collection, minors protection, and compliance checklist.Votes: 0GitHub stars: 85
- Legal Us ClemensjlUse when writing, reviewing, or fixing legally required texts and disclosures for a US website, webshop, app, or newsletter — privacy policy, notice at collection, Do Not Sell or Share link, terms of service, subscription and auto-renewal disclosures, email and SMS consent, DMCA agent, accessibility — or when asked whether a US online presence is legally compliant. Also use when an EU, UK or German legal template is about to be reused for the United States, when a business starts collecting p...Votes: 0GitHub stars: 85
- Us Privacy Law Applicability Checker RohasnagpalMaps potentially applicable US federal, State and sectoral privacy and data-security laws to an identified entity, data set and processing activity. Use before compliance or incident analysis; do not describe one State's rule as a national standard.Votes: 0GitHub stars: 85
- Us Transfer Tia DokumentationFür US-Transfer-TIA-Dokumentation: ordnet Akte, Belege und Lücken; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.Votes: 0GitHub stars: 85
- Design Equity Compensation Plan JeffreytseUse when designing or auditing an equity compensation plan covering stock options, RSUs, or other equity awards for startups or growth-stage companiesVotes: 0GitHub stars: 85
- Ai Applicant Reactions And Communications Openmatter NetworkUse when considering how candidates react to an AI/ML selection tool and what is communicated to candidates and stakeholders about it — Concerns 9-10 of Tippins, Oswald & McPhail (2021). Covers applicant reactions and their tenuous link to behavior, the faking-vs-training question for video interviews, pitfalls in reaction metrics, and what information can/should be shared with unsuccessful applicants and other stakeholders. Triggers: "candidate reactions to AI hiring", "applicant perceptions...Votes: 0GitHub stars: 85
- Ai Audit Meta ComponentsUse when auditing the cross-cutting "meta" considerations of an AI/ML personnel assessment that apply across every other component — Components 10-12 of the Landers & Behrend (2023) framework: cultural context (power differentials, cross-cultural transfer, community participation), respect (conformance to accepted ethical standards — the Standards, SIOP Principles, OECD Principles, UGAI), and research designs (whether the studies behind every empirical claim are methodologically defensible). ...Votes: 0GitHub stars: 85
- Ai Audit PlanningUse when scoping or commissioning a psychological audit of an AI/ML personnel assessment — to define which claims the audit will evaluate (validity, utility, lack of bias), establish the auditor''s stance and credibility (internal / external / independent), decide formative vs. summative timing and the audience, and settle data/documentation access and disclosure terms. Triggers: "audit an AI hiring tool", "plan an algorithm audit", "bias audit scope", "internal vs external vs independent aud...Votes: 0GitHub stars: 85
- Ai Audit ReportingUse when writing up and releasing the results of a psychological audit of an AI/ML personnel assessment — producing a precise, comprehensive technical report for testing professionals AND a layperson-friendly summary for those the predictions affect, establishing the auditor''s standards and credibility in the report, and deciding on public release. Triggers: "write the AI audit report", "release the bias audit results", "dual-audience audit report", "should we publish the audit", "auditor cr...Votes: 0GitHub stars: 85
- Ai Candidate Data Control Openmatter NetworkUse when an AI/ML selection tool uses data the candidate does not control or did not knowingly provide — scraped social-media/Internet data, or incidental data like facial micro-expressions, voice, and appearance — Concern 8 of Tippins, Oswald & McPhail (2021). Covers the loss of applicant control, job-irrelevance and "is it fair," reputation-scrubbing services and adverse impact, the absence of a clear legal/ethical rule, informed consent (Illinois AIVI Act), and the range of policy approach...Votes: 0GitHub stars: 85
- Ai Claims And Stakeholder AuditUse when auditing how an AI/ML personnel assessment is described and how it affects people — Components 7-9 (information & perceptions) of the Landers & Behrend (2023) framework. Covers first-party developer claims (do they honestly and transparently follow from the audit evidence?), second-party effects on those assessed (candidate reactions, justice, false positives vs. false negatives, what is communicated), and third-party understanding (employment-law experts, regulators, community, publ...Votes: 0GitHub stars: 85
- Ai Dynamic Models And Revalidation Openmatter NetworkUse when an AI/ML selection tool uses "dynamic" models or norms that update frequently (sometimes after every administration), or when deciding how often to revalidate and update norms — Concern 7 of Tippins, Oswald & McPhail (2021). Covers the real-change-vs-instability dilemma, technical-report/documentation updates, score adjustments and grandparenting, disparate-treatment risk from candidates evaluated on different variables, applicant-pool shifts affecting validity/range restriction, and...Votes: 0GitHub stars: 85
- Ai Extending Professional StandardsUse when framing the profession-level response to AI selection tools, or orienting a project to the governing standards — the "Call to Action" of Tippins, Oswald & McPhail (2021). Covers the Principles and Standards as the two guiding documents, the argument that SIOP should develop interpretive guidance APPLYING the Principles to technologically enhanced assessments (not rewrite them), the need for interdisciplinary collaboration, and the warning against letting practice reach "escape veloci...Votes: 0GitHub stars: 85
- Ai Fairness Lenses Openmatter NetworkUse FIRST when evaluating, auditing, or debating whether an AI/ML personnel assessment is "fair" or "unbiased" — to define and defend which meaning of fairness/bias applies before drawing conclusions. Covers the three lenses from Landers & Behrend (2023): individual attitudes (distributive/procedural/ interactional justice), legality-ethicality-morality, and technical domain-embedded meanings (statistics vs. machine learning vs. psychometrics). Triggers: "is this AI hiring tool fair/biased", ...Votes: 0GitHub stars: 85
- Ai Input Data And Design Audit Openmatter NetworkUse when auditing the data and foundational design of an AI/ML personnel assessment — Components 1-2 of the Landers & Behrend (2023) framework. Covers input-data population, sampling, range restriction, and incumbent-vs-applicant generalizability; and model design: how the criterion ("ground truth") is defined and its construct validity, why each predictor/feature was included, and whether choices were theory-driven or empirically derived. Triggers: "audit training data", "is the training sam...Votes: 0GitHub stars: 85
- Ai Job Analysis And Relevancy Openmatter NetworkUse when checking whether an AI/ML selection tool is grounded in an adequate analysis of work and is demonstrably job-related — Concerns 2-3 of Tippins, Oswald & McPhail (2021). Covers whether a job analysis is necessary (even with a strong criterion-related relationship), acceptable forms and rigor, O*NET and competency-model limits, collecting task importance ratings, SME-judgment agreement, and the legal meaning of job relatedness. Triggers: "does the AI tool need a job analysis", "is this...Votes: 0GitHub stars: 85
- Ai Ml Methodology EvaluationUse when evaluating whether the machine-learning methodology behind a selection tool is appropriate and interpretable — Concern 4 of Tippins, Oswald & McPhail (2021). Covers ML interpretability and the "black box," explainable AI (XAI), evaluation metrics (MSE, confusion matrix, ROC/AUC), the high variable-to-case ratio in big data, the difficulty of comparing ML results to traditional methods, and the I-O psychology education gap. Triggers: "is the ML methodology appropriate", "black box hir...Votes: 0GitHub stars: 85
- Ai Model Development AuditUse when auditing how an AI/ML personnel assessment was actually built once its design was set — Components 3-5 of the Landers & Behrend (2023) framework: model development (refinement and cross-validation strategy, documentation), model features (feature engineering — NLP tokens vs. topics, speech-to-text, extracted facial/voice features), and model processes (the estimation algorithm, alternatives explored, and stress tests for bias). Triggers: "audit feature engineering", "k-fold vs holdou...Votes: 0GitHub stars: 85
- Ai Model Outputs Audit Openmatter NetworkUse when auditing the scores an AI/ML personnel assessment produces — Component 6 of the Landers & Behrend (2023) framework. Covers evaluating the quality of model predictions: reliability (consistency over time and repeated administrations), validity evidence (do scores reflect the claimed constructs and predict the outcome), appropriateness of the cross-validation given generalizability claims, and subgroup differences across protected classes and their intersections. Triggers: "evaluate AI...Votes: 0GitHub stars: 85
- Ai Predictor Theoretical Basis Openmatter NetworkUse when an AI/ML selection tool uses predictors with no clear theoretical or job-analytic rationale — scraped data (resumes, social media, emails, the Internet), voice/facial features, or opaque big-data correlations. Covers the debate over whether predictors need a theoretical basis, proxy-variable risk (e.g., ZIP code for race), and how the presence or absence of adverse impact changes the analysis. Maps to Concern 1 of Tippins, Oswald & McPhail (2021). Triggers: "atheoretical predictors",...Votes: 0GitHub stars: 85
- Ai Reliability Openmatter NetworkUse when evaluating the reliability (score consistency/stability) of an AI/ML selection tool — Concern 6 of Tippins, Oswald & McPhail (2021). Covers reliability as an absolute requirement, what stability means for AI scores, evidence that machine scoring can be as or more reliable than human scoring, the questionable reliability of facial-emotion analysis (including across skin tone, disability, and altered features), and confounds from individual differences in the data generated (e.g., extr...Votes: 0GitHub stars: 85
- Ai Selection Ethics Openmatter NetworkUse when evaluating the professional-ethics obligations around an AI/ML personnel selection tool under the APA Ethics Code — Concern 11 of Tippins, Oswald & McPhail (2021). Covers Ethics Code Section 9 (9.01 Bases for Assessments, 9.02 Use of Assessments, 9.03 Informed Consent), the difference in consent standards for researchers (8.05) vs. those employing tools, and how reliability, validity, and fairness are intertwined with ethical duties. Triggers: "APA ethics AI hiring", "is it ethical t...Votes: 0GitHub stars: 85
- Ai Selection Legal Landscape Openmatter NetworkUse when assessing the legal and regulatory exposure of an AI-based / technologically enhanced personnel selection tool (primarily U.S., with global notes). Covers the Uniform Guidelines on Employee Selection Procedures, Title VII disparate impact and the job-relatedness/business-necessity defense, the OFCCP''s 2019 position on AI, the Guardians content-validation case, the Illinois AI Video Interview Act and other state laws, and why "no adverse impact" does not equal "valid." Triggers: "is...Votes: 0GitHub stars: 85
- Ai Selection Tech Data AlgorithmsUse FIRST when evaluating, classifying, or comparing any AI-based or technologically enhanced personnel selection tool — to separate the three independent things it combines: technologies, data, and algorithms (Tippins, Oswald & McPhail, 2021). Establishes that a technology is never "universally valid," that data range from intentional to incidental, and that ML effectiveness depends more on data quality than algorithm choice. Triggers: "evaluate an AI hiring tool", "is this video-interview/g...Votes: 0GitHub stars: 85
- Ai Validity Evidence Openmatter NetworkUse when determining what validity evidence an AI/ML selection tool needs and whether it has it — Concern 5 of Tippins, Oswald & McPhail (2021). Covers validity as the legal/business sine qua non when adverse impact exists, AI tools as "tests" requiring validity, criterion-related vs. content strategies and why content validation is hard for AI, overall model fit (R-squared) as sometimes the only basis, comparative data for less-adverse alternatives, and the minimum documentation requirements...Votes: 0GitHub stars: 85
- Az Employment CodearrangerSubject-matter bundle for Arizona employment matters — wrongful termination, workplace discrimination, harassment, retaliation, unpaid wages, minimum wage, paid sick time, non-compete, workers''-compensation. Triggers: "Arizona employment", "Arizona wrongful termination", "AEPA", "Arizona at-will", "ACRA Arizona discrimination", "Arizona Civil Rights Act", "Arizona unpaid wages", "Arizona Wage Act", "Arizona minimum wage", "Arizona paid sick time", "Arizona non-compete", "Valley Medical Speci...Votes: 0GitHub stars: 85
- Design Remote Work Policy JeffreytseUse when creating or updating a remote work policy for a company or teamVotes: 0GitHub stars: 85
- Design Severance Package JeffreytseUse when designing a severance package for employee termination, reduction in force, or executive separationVotes: 0GitHub stars: 85
- Employment Labor Everyone Needs A CopilotEmployment and contractor law guidance for ENAC. Use for Colorado contractor classification, employment terms, IP assignment, non-compete restrictions, subcontractors, worker onboarding, and personnel risk.Votes: 0GitHub stars: 85
- Employment Labor JudicialmindEmployment and labor law skill for workplace legal issues. Use when the user needs assistance with employment policies, workplace compliance, discrimination, harassment, wage and hour, FMLA, ADA, OSHA, non-competes, or labor relations. Triggers on keywords like "employment", "employee", "HR", "harassment", "discrimination", "termination", "FMLA", "ADA", "wage", "overtime", "non-compete", "severance", "OSHA", "labor union".Votes: 0GitHub stars: 85
- Handbook Updates Bossmann007Diff a proposed handbook change against the current version, flag ripple effects and state supplement impacts. Use when user says "update the handbook", "add this to the handbook", "handbook change", or has a policy ready for insertion.Votes: 0GitHub stars: 85
- Investigation Summary Bossmann007Draft 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.Votes: 0GitHub stars: 85
- Legal Employment Everyone Needs A CopilotEmployment and Subcontractor Counsel for ENAC. Use for employee or contractor onboarding, subcontractor agreements, NDAs, IP assignment agreements, Colorado contractor classification, non-compete/non-solicit restrictions, departure risk, flow-down obligations, and personnel confidentiality.Votes: 0GitHub stars: 85
- Mi Employment CodearrangerSubject-matter bundle for Michigan employment matters: discrimination, harassment, retaliation, wage-and-hour, whistleblower, non-compete, and workers''-compensation exclusive remedy. Triggers include "Michigan employment discrimination", "Elliott-Larsen ELCRA MCL 37.2101", "PWDCRA MCL 37.1101", "MCL 15.361" whistleblower, "Michigan minimum wage", "MCL 408.471" Payment of Wages Act, "Mothering Justice", "MARA MCL 445.774a" non-compete, "MCL 418.131" workers'' comp exclusive remedy. Covers ELC...Votes: 0GitHub stars: 85
- Ny Employment CodearrangerUse when drafting or filing a New York employment action — workplace discrimination, harassment, retaliation, wage-and-hour violations, whistleblower, WARN Act, restrictive covenants. Triggers include 'NY Exec Law 296', 'NYS Human Rights Law', 'NYC Human Rights Law', 'NYC Admin Code 8-107', 'Labor Law 740 whistleblower', 'Labor Law 191 frequency of pay', 'Labor Law 198 wage theft', 'EEOC Notice of Right to Sue'. Covers **NY Exec Law § 296** (NYS HRL, broader-than-Title-VII, all-size coverage ...Votes: 0GitHub stars: 85