project-planner
Breaks down complex projects into actionable tasks with timelines, dependencies, and milestones. Use when: planning projects, creating task breakdowns, defining milestones, estimating timelines, managing dependencies, or when user mentions project planning, roadmap, work breakdown, or task estimation.
hugging-face-jobs
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tok...
project-development
This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.
hugging-face-model-trainer
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
hugging-face-jobs
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.
adhd-daily-planner
Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.
openrouter-pricing-basics
Execute understanding OpenRouter pricing and cost estimation. Use when budgeting or optimizing costs. Trigger with phrases like 'openrouter pricing', 'openrouter costs', 'openrouter budget', 'openrouter token pricing'.
performance-optimization
Apply systematic performance optimization techniques for Python and Rust code: estimation + profiling, API/bulk design, algorithmic wins, cache-friendly memory layout, fewer allocations, fast paths, caching, and compiler-friendly hot loops. Use for performance code reviews, refactors, and profiling-driven optimizations. Keywords: performance, latency, throughput, cache, allocation, memory layout, PyO3, msgspec, tokio, async, pprof, py-spy, perf.
bulk-rna-seq-deconvolution-with-bulk2single
Turn bulk RNA-seq cohorts into synthetic single-cell datasets using omicverse's Bulk2Single workflow for cell fraction estimation, beta-VAE generation, and quality control comparisons against reference scRNA-seq.
snapshot-aggregation
Daily compression of time-series data with merge logic for multiple pipeline runs, structured aggregation for dashboards, and storage estimation for capacity planning.
math-tools
Deterministic mathematical computation using SymPy. Use for ANY math operation requiring exact/verified results - basic arithmetic, algebra (simplify, expand, factor, solve equations), calculus (derivatives, integrals, limits, series), linear algebra (matrices, determinants, eigenvalues), trigonometry, number theory (primes, GCD/LCM, factorization), and statistics. Ensures mathematical accuracy by using symbolic computation rather than LLM estimation.
scipy-curve-fit
Use scipy.optimize.curve_fit for nonlinear least squares parameter estimation from experimental data.
egomotion-estimation
Estimate camera motion with optical flow + affine/homography, allow multi-label per frame.
excitation-signal-design
Design effective excitation signals (step tests) for system identification and parameter estimation in control systems.
terraform-analyzer
Specialized skill for analyzing Terraform configurations. Supports parsing, security scanning (tfsec, checkov), cost estimation (infracost), drift detection, and plan visualization across AWS, Azure, and GCP.
kinetic-modeler
Reaction kinetics modeling skill for parameter estimation, mechanism validation, and rate equation development
dcf-valuation-modeler
Discounted Cash Flow model builder for comprehensive company valuations with WACC calculation, terminal value estimation, and sensitivity analysis
power-analysis
FPGA power estimation and optimization skill for low-power design
cosmosis-parameter-estimator
CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis
complexity-analyzer
Automated Big-O complexity analysis of code and algorithms. Performs static analysis of loop structures, recursive call trees, space complexity estimation, and amortized analysis with detailed derivation documents.
emcee-mcmc-sampler
emcee MCMC skill for Bayesian parameter estimation and posterior sampling in physics applications
process-economics-estimator
Process economics estimation skill for capital costs, operating costs, and profitability analysis
camb-cosmology-calculator
CAMB cosmological perturbation skill for CMB power spectra, matter power spectra, and cosmological parameter estimation
sprint-planning-calculator
Calculate sprint capacity and support story point estimation
resource-estimator
Quantum resource estimation skill for algorithm feasibility analysis
project-development
This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.
managing-timelines
Help users set and hit realistic deadlines. Use when someone is planning project timelines, struggling to hit deadlines, dealing with timeline pressure from stakeholders, or trying to improve estimation accuracy.
bio-proteomics-peptide-identification
Peptide-spectrum matching and protein identification from MS/MS data. Use when identifying peptides from tandem mass spectra. Covers database searching, spectral library matching, and FDR estimation using target-decoy approaches.
bio-metagenomics-abundance
Species abundance estimation using Bracken with Kraken2 output. Redistributes reads from higher taxonomic levels to species for more accurate estimates. Use when accurate species-level abundances are needed from Kraken2 classification output.
bio-metagenomics-kraken
Taxonomic classification of metagenomic reads using Kraken2. Fast k-mer based classification against RefSeq database. Use when performing initial taxonomic classification of shotgun metagenomic reads before abundance estimation with Bracken.
bio-de-edger-basics
Perform differential expression analysis using edgeR in R/Bioconductor. Use for analyzing RNA-seq count data with the quasi-likelihood F-test framework, creating DGEList objects, normalization, dispersion estimation, and statistical testing. Use when performing DE analysis with edgeR.
bio-workflows-metagenomics-pipeline
End-to-end metagenomics workflow from FASTQ to taxonomic and functional profiles. Covers Kraken2 classification, Bracken abundance estimation, and HUMAnN functional profiling. Use when profiling metagenomic samples.
estimation
Estimation techniques including analogous, parametric, three-point, and expert judgment methods. Provides effort, cost, duration, and complexity estimates for projects, features, and tasks.
project-planning
Transform specifications into implementation plans with architecture design and dependency-ordered tasks. Use for spec-to-plan conversion, task breakdown, effort estimation. Skip if no spec exists.
aws-cost-operations
This skill provides AWS cost optimization, monitoring, and operational best practices with integrated MCP servers for billing analysis, cost estimation, observability, and security assessment.
liquidity-depth-analyzer
DEX liquidity analysis and slippage estimation for MEV trading. Use when implementing swaps, route selection, or position sizing. Triggers on: liquidity, slippage, price impact, depth, AMM math, Uniswap, Curve.
roadmap-planning-expert
When the user asks about roadmap planning, sprint planning, milestone estimation, or capacity planning
pitfalls-blockchain
Blockchain RPC error handling, gas estimation, multi-chain config, and transaction management. Use when interacting with smart contracts, estimating gas, or managing transactions. Triggers on: RPC, contract call, gas, multicall, nonce, transaction, revert.
aws-cost-operations
This skill provides AWS cost optimization, monitoring, and operational best practices with integrated MCP servers for billing analysis, cost estimation, observability, and security assessment.
ring:using-finops-team
3 FinOps agents: 2 for Brazilian financial regulatory compliance (BACEN, RFB, Open Banking), 1 for infrastructure cost estimation when onboarding customers.
ring:infrastructure-cost-estimation
Orchestrates infrastructure cost estimation with tier-based or custom TPS sizing. Offers pre-configured tiers (Starter/Growth/Business/Enterprise) or custom TPS input. Skill discovers components, asks shared/dedicated for EACH, selects environment(s), reads actual Helm chart configs, then dispatches agent for accurate calculations.
roadmap-prioritization-planning
Master prioritization frameworks, roadmap planning, timeline estimation, and resource allocation. Create executable roadmaps that drive focus and alignment.
project-estimation
Estimate project scope, timeline, and resource requirements using multiple estimation techniques including bottom-up, top-down, and analogous estimation methods for accurate project planning.
Computer Vision
Implement computer vision tasks including image classification, object detection, segmentation, and pose estimation using PyTorch and TensorFlow
1C Feature Development
Full development cycle for 1C customizations — from analysis to implementation with BSP compliance. 9 phases: estimation, discovery, codebase research, requirement refinement, design, plan review, implementation, code review, and wrap-up.
Test Plan Generation
Test plan generation skill covering requirements analysis, test strategy, coverage matrices, risk-based testing, and test estimation techniques.
planning-phase
Generates implementation plans with code reuse analysis, architecture design, and complexity estimation during the /plan phase. Use when planning feature implementation, analyzing code reuse opportunities, or designing system architecture after specification phase completes. Integrates with 8 project documentation files for constraint extraction. (project)
cost-estimator
Infrastructure and development cost estimation for technical projects. Use when planning budgets, evaluating build vs buy decisions, or projecting TCO for architecture choices.