1048 个 · 按相关度排序
Turn reflection into decisions by scoring predictions against outcomes and tracking whether commitments held. Use when running a quarterly review, scoring forecast calibration, or reflection keeps producing notes instead of change.
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Adversarial verification for AI-generated legal content. Use when fact-checking legal documents, validating citations, detecting hallucinations, scoring document quality, or assessing distribution readiness.
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Assess IT vendors and third-party partners with multi-factor risk scoring and regulatory compliance checklists. Use when evaluating technology vendors.
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Browser-based QA combining Chrome MCP control with Python analysis tools. Use when performing browser QA testing, visual regression tracking, WCAG accessibility auditing, performance profiling, or health-scoring web applications.
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Design marketing automation: workflows, lead scoring, nurture triggers. "build a lead scoring model"
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Godot Expert Analyst: Anara. Visionary project scoring and certification for Godot 4.7+ architecture. Use when evaluating project health, modernity, scalability, dependency graphs, or generating Visionary Certificates. Keywords: analyst, Anara, scoring, certification, architecture audit, ResourceLoader.get_dependencies, typed Dictionary, folder-by-feature, Visionary Certificate, Godot 4.7.
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Godot Expert Analyst: Anara. Visionary project scoring and certification for Godot 4.7+ architecture. Use when evaluating project health, modernity, scalability, dependency graphs, or generating Visionary Certificates. Keywords: analyst, Anara, scoring, certification, architecture audit, ResourceLoader.get_dependencies, typed Dictionary, folder-by-feature, Visionary Certificate, Godot 4.7.
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Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
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Provides a comprehensive suite of functions to design and annotate CRISPR guide RNA (gRNAs) sequences. This includes on- and off-target search, on-target efficiency scoring, off-target scoring, full gene and TSS contextual annotations, and SNP annotation (human only). It currently support five types of CRISPR modalities (modes of perturbations): CRISPR knockout, CRISPR activation, CRISPR inhibition, CRISPR base editing, and CRISPR knockdown. All types of CRISPR nucleases are supported, including
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MSA2dist calculates pairwise distances between all sequences of a DNAStringSet or a AAStringSet using a custom score matrix and conducts codon based analysis. It uses scoring matrices to be used in these pairwise distance calcualtions which can be adapted to any scoring for DNA or AA characters. E.g. by using literal distances MSA2dist calculates pairwise IUPAC distances.
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Use when the user needs B2B pipeline work — ICP and account lists, prospecting, cold email and LinkedIn outbound sequences, lead scoring, MQL to SQL handoff, sales decks, objection handling, demo scripts, CRM pipeline hygiene, and RevOps reporting. Trigger on 'find leads', 'prospect list', 'cold email sequence', 'outbound campaign', 'lead scoring model', 'our pipeline is empty', 'sales deck for enterprise buyers'. Also use when the user has a strong product and no route to the companies that need it. Not for — consumer lifecycle email, see `14-email-marketing-global`; the offer being sold, see `31-offer-design-global`; positioning against rivals, see `58-positioning-global`; inbound content, see `36-content-brief-global`.
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Use when auditing content quality, E-E-A-T, publish readiness, or 内容质量/EEAT评分. Runs 80-item CORE-EEAT scoring with veto checks and fix plan.
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Scoring framework for test-kitchen cookoff and omakase-off. Invoked at Phase 4 to evaluate implementations using 5-criteria scoring. Do not invoke directly - called by cookoff/omakase-off.
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Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
中文简介正在准备中。当前显示原文说明。
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
中文简介正在准备中。当前显示原文说明。
Analyzes code change impact with risk scoring and affected-node mapping. Use before merging to understand what a change touches and what lacks test coverage.
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Provides weighted scoring, rubrics, and decision-threshold patterns. Use when designing quality gates, evaluation systems, or decision frameworks.
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Score and prioritize leads based on firmographic fit and behavioral engagement signals, producing ranked tiers for sales team focus. Use when the user requests lead scoring or provides relevant inputs for this workflow.
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Provider-independent music supervision and scoring direction for AI agents producing generated videos, ads, trailers, explainers, product films, social clips, documentaries, game trailers, and branded content. Use when planning, prompting, selecting, licensing, mixing, repairing, or quality-reviewing music, score, temp tracks, needle drops, AI-generated tracks, cue sheets, stems, loudness, loopability, platform music constraints, and rights-aware audio handoff for visual media.
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AlphaFold2 / AlphaFold-Multimer structure prediction for validation and confidence scoring. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer. For faster single-chain prediction, use esm2-sequence-scoring. For QC thresholds, use protein-design-qc.
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ESM2 protein language model for embeddings and sequence scoring. Use this skill when: (1) Computing pseudo-log-likelihood (PLL) scores, (2) Getting protein embeddings for clustering, (3) Filtering designs by sequence plausibility, (4) Zero-shot variant effect prediction, (5) Analyzing sequence-function relationships. For structure prediction, use chai or boltz. For QC thresholds, use protein-qc.
中文简介正在准备中。当前显示原文说明。
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
中文简介正在准备中。当前显示原文说明。
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
中文简介正在准备中。当前显示原文说明。
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
中文简介正在准备中。当前显示原文说明。