rfp-ingest
Ingest RFP opportunities from multiple data sources (SAM.gov, eMMA, RFPMart). Use when adding new data sources, modifying ingestion logic, or debugging data fetching issues.
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Ingest RFP opportunities from multiple data sources (SAM.gov, eMMA, RFPMart). Use when adding new data sources, modifying ingestion logic, or debugging data fetching issues.
Evaluate RFP opportunities using the 6-dimension scoring framework. Use when modifying evaluation criteria, adjusting keyword weights, or implementing AI-based evaluation.
Generate and track compliance matrices for RFP requirements. Use when building requirements tracking features, implementing compliance checklists, or ensuring proposal coverage.
Convex database patterns and best practices for RFP Discovery. Use when writing Convex queries, mutations, actions, or schema definitions. Also helpful for real-time subscriptions and auth integration.
Convex database patterns and best practices for RFP Discovery. Use when writing Convex queries, mutations, actions, or schema definitions. Also helpful for real-time subscriptions and auth integration.
MCMC convergence diagnostics using CmdStanPy and ArviZ
Use when performing Bayesian statistical analysis, building probabilistic models, or when the task involves prior specification, posterior inference, or predictive checks.
Guidelines for writing reports, organizing files, and generating code artifacts
Best practices for writing efficient, clean Stan programs
Guidelines for visual predictive checks following Säilynoja et al. recommendations using ArviZ
Guidelines for Stan models with ODE-based dynamics using modern interfaces
Python environment setup with uv, shared utilities, and script structure guidelines.
Fetches bug tickets from Jira using Atlassian MCP and formats them for AI-assisted bug fixing. Use when user mentions a Jira ticket key (like EMS-1234, PROJ-567) and wants to fix a bug, or when starting a bug-f...
Patterns and methods for researching a codebase to understand bug context. Use when investigating how code works, finding related files, or understanding code flow.
Patterns for creating tests that verify bug fixes and prevent regressions. Use when writing tests for bug fixes, creating regression tests, or verifying fix effectiveness.
Methods for validating root cause analyses. Provides checklists for 5 Whys depth, execution path accuracy, and fix strategy soundness. Use when reviewing RCA reports.
Orchestrates the complete bug-fixing workflow from Jira ticket to implementation. Use when starting to fix a bug, managing the bug-fixing pipeline, or checking workflow progress.
Design system for SignalPilot UI with Soft Violet gradient, Isometric pattern, and brand-native components. Use when building any SignalPilot frontend, UI components, styling, or visual design work.
Write authentic, conversion-focused marketing content for product features and launches. Use when Maurice ships a feature, needs landing page copy, tweet threads, launch emails, or any marketing content. Automa...
Provides ruthless prioritization framework for product decisions. Use when advising what to build next, challenging feature ideas, evaluating new features against Impact vs Effort matrix, applying stage-based r...
Provides brutally honest, quick feedback on app ideas before investing time building. Use when the user presents an app idea, asks for validation of a concept, or before starting any new project. Evaluates mark...
Toolkit for creating animated GIFs optimized for Slack, with validators for size constraints and composable animation primitives. This skill applies when users request animated GIFs or emoji animations for Slac...
Transform app ideas into shippable MVPs using rapid validation methodology. Use when the user wants to build a new app, evaluate an idea, generate a PRD, create Claude Code prompts, scope an MVP, or make produc...
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.