Agent Skills catalog · page 97
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posit-dev/skills
deploy-to-connect
Deploy or publish Python and R content to a Posit Connect server using rsconnect-python or the R rsconnect package. Handles interactive apps and dashboards, web APIs, rendered documents, and prepared bundles/manifests. Use whenever the user asks to deploy, publish, or redeploy content to Posit Connect, or mentions rsconnect. Consult this skill instead of guessing flags or commands.
posit-dev/skills
quarto-authoring
Use when the user is explicitly working with Quarto, .qmd files, _quarto.yml, Quarto projects, or Quarto features such as callouts, cross-references, citations, Mermaid diagrams, extensions, websites, books, presentations, and reports. Also use for explicit migration from or comparison with R Markdown, bookdown, blogdown, xaringan, distill, or Jupyter notebooks to Quarto. Do not use for general R Markdown or related-format questions unless Quarto or migration to Quarto is explicitly mentioned.
posit-dev/skills
review-testing
Review test code for quality, design, and completeness after implementing a feature or fixing a bug. Use when the user asks to "review my tests", "check my test quality", "are these tests good enough", "review testing", or after completing a feature implementation that includes tests. Also use when tests feel brittle, flaky, or superficial. Cross-references production code to find coverage gaps.
mxyhi/ok-skills
diagram-design
Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, bar, line, Gantt and scatter charts, high-level, process, medallion, data flow, DP integration, or DP security matrix diagrams as standalone HTML/SVG/PNG. Redraw .drawio/.drawio.png/.drawio.svg or Mermaid .mmd sources at a chosen size/detail; onboard brand tokens from a website; add
Playa-0v0/Cyrene-Agent
as-code-review-and-quality
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.
Playa-0v0/Cyrene-Agent
self-improving-agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
Playa-0v0/Cyrene-Agent
sp-subagent-driven-development
Use when executing implementation plans with independent tasks in the current session
Playa-0v0/Cyrene-Agent
as-security-and-hardening
Hardens code against vulnerabilities. Use when handling user input, authentication, data storage, or external integrations. Use when building any feature that accepts untrusted data, manages user sessions, or interacts with third-party services.
Playa-0v0/Cyrene-Agent
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Playa-0v0/Cyrene-Agent
as-api-and-interface-design
Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.
NeuroAIHub/BrainPilot
fmri-task-design-guide
Guides fMRI task design: block vs. event-related vs. mixed; jittering; contrasts; power for BOLD detection
NeuroAIHub/BrainPilot
drift-diffusion-model
Expert guidance on selecting, fitting, and evaluating drift-diffusion models for two-choice response time data in cognitive science
NeuroAIHub/BrainPilot
eeg-preprocessing-pipeline-guide
Guides EEG preprocessing: filtering, artifact rejection (ICA/ASR), re-referencing, interpolation
NeuroAIHub/BrainPilot
fmri-glm-analysis-guide
Domain-validated guidance for fMRI General Linear Model specification: HRF modeling, design matrix construction, contrast definition, confound regression, and statistical inference
NeuroAIHub/BrainPilot
lesion-symptom-mapping-guide
Advises on lesion-symptom mapping methods: VLSM, disconnection analysis, network lesion mapping
NeuroAIHub/BrainPilot
neuropsych-battery-selector
Domain-validated decision logic for selecting neuropsychological test batteries matched to suspected cognitive deficit profiles
NeuroAIHub/BrainPilot
calcium-imaging-analysis-guide
Domain-validated pipeline guidance for calcium imaging data analysis: motion correction, ROI extraction, neuropil correction, spike inference, and quality control
NeuroAIHub/BrainPilot
cogsci-statistics
Domain-specific statistical modeling guidance for cognitive science and neuroscience, encoding when and how to apply mixed models, correction methods, Bayesian approaches, and effect size reporting
NeuroAIHub/BrainPilot
fmri-preprocessing-pipeline-guide
Domain-validated guidance for fMRI preprocessing decisions: motion correction, slice timing, spatial normalization, smoothing, confound regression, and quality control
NeuroAIHub/BrainPilot
research-literacy
Core scientific methodology principles: research planning, method justification, assumption checking, and human-in-the-loop decision making for cognitive science and neuroscience
NeuroAIHub/BrainPilot
verify-skill
Interactive skill verification — assess accuracy of parameters, citations, and methodology through structured expert review
NeuroAIHub/BrainPilot
act-r-model-builder
Guides ACT-R cognitive model construction: chunk types, production rules, subsymbolic parameters, and model validation
NeuroAIHub/BrainPilot
creativity-self-efficacy-mediation
Domain-validated guidance for SEM-based mediation analysis of creative self-efficacy and moderation by baseline creativity in AI-augmented creativity research
NeuroAIHub/BrainPilot
evidence-accumulation-selector
Advises on when to use DDM vs. LBA vs. race models for choice-RT data based on experimental design and research goals