scientific-schematics
davila7Create publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
Verification & Quality Assurance
ruvnetComprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
scientific-schematics
K-Dense-AICreate publication-quality scientific diagrams using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
revnet-economics
openclawAcademic findings and economic thresholds for revnets from CryptoEconLab research. Use when: (1) explaining cash-out vs loan decision thresholds, (2) discussing loan solvency guarantees, (3) recommending revnet archetypes, (4) explaining price corridor dynamics, (5) citing academic sources for revnet mechanics. Includes bonding curve proofs, rational actor analysis, and the three revnet archetypes.
validating-performance-budgets
This skill enables Claude to validate application performance against defined budgets. It's useful for identifying performance regressions early in the development lifecycle. The skill is triggered when the user mentions "performance budget", "validate budget", "performance regression", or requests a check against performance metrics like "page load times", "bundle sizes", "API response times", or "Lighthouse scores". The plugin validates against predefined thresholds and alerts on violations. It is especially helpful in CI/CD pipelines to prevent performance degradation in production.
bulk-rna-seq-deseq2-analysis-with-omicverse
StarlitnightlyWalk Claude through PyDESeq2-based differential expression, including ID mapping, DE testing, fold-change thresholding, and enrichment visualization.
anomaly-detection
dadbodgeoffRule-based anomaly detection for production systems with configurable thresholds, cooldown periods to prevent alert storms, and error pattern tracking for repeated failures.
worker-health-monitoring
dadbodgeoffHeartbeat-based health monitoring for background workers with configurable thresholds, rolling duration windows, failure rate calculation, and stuck job detection.
nws-flood-thresholds
benchflow-aiDownload flood stage thresholds from NWS (National Weather Service). Use when determining flood levels for USGS stations, accessing action/minor/moderate/major flood stages, or matching stations to their flood thresholds.
reflow_machine_maintenance_guidance
benchflow-aiThis skill should be considered when you need to answer reflow machine maintenance questions or provide detailed guidance based on thermocouple data, MES data or defect data and reflow technical handbooks. This skill covers how to obtain important concepts, calculations, definitions, thresholds, and others from the handbook and how to do cross validations between handbook and datasets.
commit-hygiene
alinaqiAtomic commits, PR size limits, commit thresholds, stacked PRs
code-review
kdcokennyComprehensive code review methodology with severity classification and confidence thresholds
pr-threshold
Track commit accumulation and trigger PR when thresholds crossed
bio-pathway-go-enrichment
GPTomicsGene Ontology over-representation analysis using clusterProfiler enrichGO. Use when identifying biological functions enriched in a gene list from differential expression or other analyses. Supports all three ontologies (BP, MF, CC), multiple ID types, and customizable statistical thresholds.
bio-experimental-design-multiple-testing
GPTomicsApplies multiple testing correction methods including FDR, Bonferroni, and q-value for genomics data. Use when filtering differential expression results, setting significance thresholds, or choosing between correction methods for different study designs.
bio-data-visualization-volcano-customization
GPTomicsCreate publication-ready volcano plots with custom thresholds, gene labels, and highlighting using ggplot2, EnhancedVolcano, or matplotlib. Use when visualizing differential expression or association results with gene annotations.
bio-read-qc-quality-filtering
GPTomicsFilter reads by quality scores, length, and N content using Trimmomatic and fastp. Apply sliding window trimming, remove low-quality bases from read ends, and discard reads below thresholds. Use when reads have poor quality tails or require minimum quality for downstream analysis.
bio-clinical-databases-tumor-mutational-burden
GPTomicsCalculate tumor mutational burden from panel or WES data with proper normalization and clinical thresholds. Use when assessing immunotherapy eligibility or characterizing tumor immunogenicity.
margin-management
Update Margin Dashboard with Fidelity balance data and calculate margin-living strategy metrics. Monitors margin balance, interest costs, coverage ratios, and scaling thresholds. Triggers safety alerts for large draws and provides time-based scaling recommendations. Use when updating margin, balances, coverage ratio, or margin strategy analysis.
asyncredux-wait-condition
marcglasbergUse `waitCondition()` inside actions to pause execution until state meets criteria. Covers waiting for price thresholds, coordinating between actions, and implementing conditional workflows.
Verification & Quality Assurance
proffesor-for-testingComprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
qe-verification-quality
proffesor-for-testingComprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
verification-quality-assurance
aiskillstoreComprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
ln-633-test-value-auditor
levnikolaevichRisk-Based Value audit worker (L3). Calculates Usefulness Score = Impact (1-5) × Probability (1-5) for each test. Returns KEEP/REVIEW/REMOVE decisions based on thresholds (≥15 KEEP, 10-14 REVIEW, <10 REMOVE).
bindcraft
adaptyvbioEnd-to-end binder design using BindCraft hallucination. Use this skill when: (1) Designing protein binders with built-in AF2 validation, (2) Running production-quality binder campaigns, (3) Using different design protocols (fast, default, slow), (4) Need joint backbone and sequence optimization, (5) Want high experimental success rate. For backbone-only generation, use rfdiffusion. For QC thresholds, use protein-qc. For tool selection guidance, use binder-design.
protein-design-workflow
adaptyvbioEnd-to-end guidance for protein design pipelines. Use this skill when: (1) Starting a new protein design project, (2) Need step-by-step workflow guidance, (3) Understanding the full design pipeline, (4) Planning compute resources and timelines, (5) Integrating multiple design tools. For tool selection, use binder-design. For QC thresholds, use protein-qc.
chai
adaptyvbioStructure prediction using Chai-1, a foundation model for molecular structure. Use this skill when: (1) Predicting protein-protein complex structures, (2) Validating designed binders, (3) Predicting protein-ligand complexes, (4) Using the Chai API for high-throughput prediction, (5) Need an alternative to AlphaFold2. For QC thresholds, use protein-qc. For AlphaFold2 prediction, use alphafold. For ESM-based analysis, use esm.
esm
adaptyvbioESM2 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.
protein-qc
adaptyvbioQuality control metrics and filtering thresholds for protein design. Use this skill when: (1) Evaluating design quality for binding, expression, or structure, (2) Setting filtering thresholds for pLDDT, ipTM, PAE, (3) Checking sequence liabilities (cysteines, deamidation, polybasic clusters), (4) Creating multi-stage filtering pipelines, (5) Computing PyRosetta interface metrics (dG, SC, dSASA), (6) Checking biophysical properties (instability, GRAVY, pI), (7) Ranking designs with composite scoring. This skill provides research-backed thresholds from binder design competitions and published benchmarks.
ipsae
adaptyvbioBinder design ranking using ipSAE (interprotein Score from Aligned Errors). Use this skill when: (1) Ranking binder designs for experimental testing, (2) Filtering BindCraft or RFdiffusion outputs, (3) Comparing AF2/AF3/Boltz predictions, (4) Predicting binding success rates, (5) Need better ranking than ipTM or iPAE. For structure prediction, use chai or alphafold. For QC thresholds, use protein-qc.
alphafold
adaptyvbioValidate protein designs using AlphaFold2 structure prediction. 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 esm. For QC thresholds, use protein-qc.
rfdiffusion
adaptyvbioGenerate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation. Use this skill when: (1) Designing binder scaffolds for a target protein, (2) Generating novel protein backbones from scratch, (3) Scaffolding functional motifs into new proteins, (4) Specifying hotspot residues for interface design, (5) Creating symmetric oligomers. For sequence design after backbone generation, use proteinmpnn. For structure validation, use alphafold or chai. For QC thresholds, use protein-qc.
boltz
adaptyvbioStructure prediction using Boltz-1/Boltz-2, an open biomolecular structure predictor. Use this skill when: (1) Predicting protein complex structures, (2) Validating designed binders, (3) Need open-source alternative to AF2, (4) Predicting protein-ligand complexes, (5) Using local GPU resources. For QC thresholds, use protein-qc. For AlphaFold2 prediction, use alphafold. For Chai prediction, use chai.
performance-metrics
gtmagentsUse to define KPIs, alert thresholds, and reporting cadences for social calendars.
channel-pacing-guardrails
gtmagentsGuardrail framework for monitoring spend, efficiency, and CAC thresholds by channel.
cat:token-report
cowwocGenerate detailed token usage report with threshold analysis and recommendations
Visual Regression Testing
PramodDuttaVisual regression testing skill using Playwright, covering screenshot comparison, visual diff thresholds, responsive testing, baseline management, and CI integration.
Core Web Vitals Testing
PramodDuttaTesting and monitoring Core Web Vitals (LCP, FID, CLS, INP, TTFB) to ensure web performance meets Google search ranking thresholds.
Stress Testing Patterns
PramodDuttaStress testing methodologies for finding breaking points, resource exhaustion thresholds, and degradation patterns under extreme load conditions.
Performance Budget Testing
PramodDuttaEnforcing performance budgets in CI/CD including bundle size limits, load time thresholds, Lighthouse score gates, and resource count limits.
k6 Performance Testing
PramodDuttaPerformance and load testing skill using k6, covering load test scripts, thresholds, scenarios, checks, custom metrics, and results analysis.
Screenshot Visual Diff Testing
PramodDuttaAutomated screenshot comparison testing with configurable thresholds, anti-aliasing tolerance, and responsive viewport visual validation.
Playwright Visual Testing
PramodDuttaVisual regression testing with Playwright including screenshot comparison, pixel-diff thresholds, dynamic content masking, and cross-browser visual validation.
Alerting & Monitoring Testing
PramodDuttaTesting monitoring and alerting configurations including threshold validation, alert routing, escalation policies, and false-positive rate monitoring.
Bun Test Coverage
secondskyUse for test coverage with Bun, --coverage flag, lcov reports, thresholds, and CI integration.
container-grype
AgentSecOpsContainer vulnerability scanning and dependency risk assessment using Grype with CVSS severity ratings, EPSS exploit probability, and CISA KEV indicators. Use when: (1) Scanning container images and filesystems for known vulnerabilities, (2) Integrating vulnerability scanning into CI/CD pipelines with severity thresholds, (3) Analyzing SBOMs (Syft, SPDX, CycloneDX) for security risks, (4) Prioritizing remediation based on threat metrics (CVSS, EPSS, KEV), (5) Generating vulnerability reports in multiple formats (JSON, SARIF, CycloneDX) for security toolchain integration.
dast-nuclei
AgentSecOpsFast, template-based vulnerability scanning using ProjectDiscovery's Nuclei with extensive community templates covering CVEs, OWASP Top 10, misconfigurations, and security issues across web applications, APIs, and infrastructure. Use when: (1) Performing rapid vulnerability scanning with automated CVE detection, (2) Testing for known vulnerabilities and security misconfigurations in web apps and APIs, (3) Running template-based security checks in CI/CD pipelines with customizable severity thresholds, (4) Creating custom security templates for organization-specific vulnerability patterns, (5) Scanning multiple targets efficiently with concurrent execution and rate limiting controls.
winning-avg-corewars
letta-aiThis skill provides guidance for creating CoreWars warriors that achieve target win rates against multiple opponents. Use this skill when tasked with writing Redcode warriors, optimizing CoreWars strategies, or achieving specific win rate thresholds against a set of opponents. The skill covers systematic opponent analysis, parameter tuning methodologies, and common pitfalls in warrior design.