310 skills · sorted by relevance
Audit whether an AI agent follows its intended purpose, business rules, and permission boundaries. The skill guides setup discovery, test configuration, execution against an agent endpoint or substitute model, and interpretation of scores from selected judging models.
Turn existing game code or prototypes into missing design, architecture, or concept documents. Extract implemented rules, formulas, and technical choices, ask about their intended purpose, and clearly separate observed behavior from unconfirmed interpretations.
Turn recorded product feedback from screens, voice, or notes into evidence for bug reports and requirements. Handle a single issue quickly or organize a broader evidence set, and guide Riffrec installation, capture, and sharing when no recording exists.
Analyze a single discovery interview to understand actual behavior, needs, workarounds, and open questions. Receive a concise account tied to sources, separating participant actions from hypothetical intentions, interviewer suggestions, and interpretation.
Inspect Mac performance to find processes using excessive CPU, GPU, memory, or energy. Combine measurements with explanations of known system processes to diagnose slowness, heat, and startup load, then recommend actions without changing system settings.
Examine articles, reports, or pasted text for bias in the data, the producing organization's interests, and the reporting. It seeks cited studies and returns a structured report separating supported findings from editorial interpretation.
Investigate slow SQL, write complex joins and summaries, and design database structures. Uses execution plans, which show how queries run, to guide index choices and query rewrites, with before-and-after performance measurements.
Build your own case brief with a preferred template, focused questions, and feedback on your understanding. The skill guides legal study by checking facts, issues, holdings—the court’s answers—and reasoning, while flagging uncertain interpretations.
Turn structured documents and a research goal into four cards covering facts, explanations, risks, and suggested actions. Source references and generation details help readers trace the evidence and review uncertainty or overstated claims.
Organize parsed documents into four color-coded cards covering facts, explanations, risks, and actions. Preserve source references and generation details so readers can review evidence, identify uncertainty, and consider next steps in research, financial, or legal analysis.
Interpret Culture Index behavioral profiles to understand individual traits, team balance, and possible strain from workplace adaptation. Use PDF or JSON data to inform hiring discussions, management approaches, onboarding plans, and conflict mediation.
Compare five Codex execution setups on Terminal-Bench 4.0 under matching conditions. The skill covers benchmark configuration, separate verification environments, image preparation, and result interpretation to help identify misleading scores caused by setup errors.
Turns mathematical modeling competition problems and attachments into an implementation-ready report. It breaks down questions, examines ambiguous assumptions and data quality, and defines variables, equations, constraints, solution methods, and validation steps.
Turn validated experiment analysis into an internal research report that supports decisions. Organize findings, statistical evidence, figure interpretations, limitations, and next actions, then save the report as Markdown or write it into a connected Obsidian knowledge base.
Keep older instructions working by forwarding explicit calls under the former name to code-testing. This compatibility alias passes along the original request and follows that skill’s workflow without adding another interpretation step.
Use when a request combines AI-writing audit, rewrite, file editing, voice preservation, false-positive interpretation, verification, or when the user invokes Avoid AI Writing without naming a mode.
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Use when a user asks what AI-writing flags mean, whether detector output proves AI authorship, or wants a careful interpretation of possible false positives, especially for academic, hiring, publication, disciplinary, or other consequential decisions.
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Use this skill when the user discusses experiment design, ablations, training runs, evaluation, baselines, metrics, failures, or result interpretation that should be logged into Obsidian experiment and result notes.
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Agent C3 - Mixed Methods Design Consultant Comprehensive mixed methods research design specialist covering sequential, concurrent, embedded, and multiphase designs with Morse notation. Core Capabilities: - Sequential Explanatory (QUAN → qual): Explain quantitative results - Sequential Exploratory (QUAL → quan): Develop instruments - Convergent Parallel (QUAN + QUAL): Comprehensive understanding - Embedded (QUAN(qual)): Secondary strand addresses different question - Multiphase: Long-term projects with iterative phases - Morse notation interpretation and recommendation
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Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, checking multicollinearity, or keywords like OLS, logit, coefficient, p-value, or R-squared.
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Used for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. Not for clinical interpretation.
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Use this skill when the user is debugging any DOCA symptom — a build that won't compile, a link step that can't resolve a doca_* symbol, a runtime call returning DOCA_ERROR_*, a silent service or tool, or a stack trace / valgrind / core dump — and needs the layered ladder (install → version → build → link → runtime → program → driver), verbosity controls (--sdk-log-level, DOCA_LOG_LEVEL, the doca-{lib}-trace flavor), container-debug constraints, or how to capture state for a Developer Forum post. Trigger even when the user does not say "DOCA debug" — implicit phrasings include "undefined reference to doca_*", "how do I get more logs", "packets aren't reaching the wire", "doca_caps returned nothing", or "hugepages empty in the container". Refuse and route elsewhere for library-specific debug (Flow pipe trace, RDMA QP, Comch stats), env-class pkg-config or hugepages symptoms, the DOCA_ERROR_* taxonomy and lifecycle interpretation, and performance or incident-response work — those belong to other skills.
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Specialized lipidomics analysis for lipid identification, quantification, and pathway interpretation. Covers LC-MS lipidomics with LipidSearch, MS-DIAL, and LipidMaps annotation. Use when analyzing lipid classes, chain composition, or lipid-specific pathways.
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Provide US dividend tax and account-location workflow for Kanchi-style income portfolios. Use when users ask about qualified vs ordinary dividends, 1099-DIV interpretation, REIT/BDC distribution treatment, holding-period checks, or taxable-vs-IRA account placement decisions for dividend assets.
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