Skills.
Give your AI a better way to work.
A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.
Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.
Category: Monitoring & ops
2,430 results · page 57 of 81
- View details
pm-verify-release-v1SkillMonitoring & ops
Post-release acceptance verification, grade a shipped release against the spec that promised it. Use when someone says "verify the release", "did the release meet its acceptance scenarios", "post-release verification", "execute the measurement plan", "week-one metrics check", or hands a shipped scop
Ready to connect★ 68
- View details
ce-strategySkillMonitoring & ops
Create or maintain STRATEGY.md - the product's target problem, approach, users, key metrics, and tracks of work. Use when starting a new product, updating direction, or when prompts like 'write our strategy', 'update the roadmap', 'what are we working on', or 'set up the strategy doc' come up. Also
Ready to connect★ 67
- View details
dev-allSkillMonitoring & ops
Orchestrate the /dev methodology across ALL phases of a feature spec via a background ultracode run, one fresh agent per bounded (sub-)phase, sequentially. Handles the DB migration itself, splits oversized phases, monitors progress, recovers from agent overruns, independently certifies each block, a
Ready to connect★ 67
- View details
ecommerce-amazon-competitor-lookupSkillMonitoring & ops
Use SellerSprite data to find and analyze competitors on Amazon, covering 12 marketplaces, with product metrics including sales, BSR, pricing, ratings, and growth trends. Trigger when the user mentions competitor lookup, competitor analysis, ASIN reverse lookup, competitive product research, finding
Ready to connect★ 67
- View details
ecommerce-amazon-market-statisticsSkillMonitoring & ops
Use SellerSprite market statistics capability to output a market statistics dashboard by category node, including top listing average rating, average price, BSR, sales, seller count, and new product related metrics, suitable for quickly assessing the market quality and competitive landscape of a cat
Ready to connect★ 67
- View details
ecommerce-amazon-niche-infoSkillMonitoring & ops
Query and analyze Jiimore data for Amazon niche market insights, including market metrics, buyer reviews, competitive landscape, price trends, and growth trends. Trigger when the user mentions niche market analysis, market insights, niche market data, market competition analysis, brand concentration
Ready to connect★ 67
- View details
ecommerce-ozon-brand-productsSkillMonitoring & ops
MPSTATS Ozon Russia brand drill-down product list. Returns all products under an Ozon brand display name (Russian/Latin) with complete metrics: sales, revenue, price, rating, stock, turnover, lost revenue, supporting multi-dimensional numeric filters, sorting, and currency conversion. Use for brand
Ready to connect★ 67
- View details
ecommerce-ozon-category-productsSkillMonitoring & ops
MPSTATS Ozon Russia category drill-down product list by Russian category path. Returns all products in a category with complete metrics: sales, revenue, price, rating, stock, turnover, lost revenue, supporting multi-dimensional numeric filters, sorting, and currency conversion. Use for category best
Ready to connect★ 67
- View details
ecommerce-ozon-seller-productsSkillMonitoring & ops
MPSTATS Ozon Russia seller drill-down product list by seller ID. Returns all SKUs under a seller with complete metrics: sales, revenue, price, rating, stock, turnover, lost revenue, supporting multi-dimensional numeric filters, sorting, and currency conversion. Use for store structure analysis, sell
Ready to connect★ 67
- View details
matrix-github-projectSkillMonitoring & ops
Clone, verify, reuse, and change GitHub repositories in observable project-scoped terminal tabs on a Matrix OS cloud computer. Use when a user supplies a GitHub repository, asks to continue work in an existing checkout, wants a Matrix app checkout, or requests code changes and validation on Matrix.
Ready to connect★ 67
- View details
orchestrate-problem-prsSkillMonitoring & ops
Decompose a structured or unstructured problem report into independently scoped workstreams, assign one subagent per accepted problem for read-only root-cause analysis, gate isolated draft PR implementation on evidence and a written plan, and shepherd every PR through worktree-pr-monitor. Use when a
Ready to connect★ 67
- View details
orchestration-teamSkillMonitoring & ops
Operating manual for the orchestration pod. Covers lead vs peer roles, monitoring with rig commands, permission handling, implementation pair gating, dogfood loops, review routing, agent behavioral models, intervention discipline, and communication culture.
Ready to connect★ 67
- View details
oversight-teamSkillMonitoring & ops
Use when you are a seat on the oversight pod (a standing monitor-mode rig that keeps OTHER rigs healthy), configuring or running the drift detectors, or choosing whether to intervene vs escalate. Covers the pull-not-poll posture, the v0 detectors (premature-park, process-drift, off-task, token-burn)
Ready to connect★ 67
- View details
requirements-writerSkillMonitoring & ops
Use when converting PM intake into a slice SPEC.md with observable acceptance outcomes, explicit scope, and advisory sibling build dependencies.
Ready to connect★ 67
- View details
simulation-orchestratorSkillMonitoring & ops
Orchestrate multi-simulation campaigns — generate parameter sweep configurations (grid, linspace, or Latin Hypercube sampling), initialize and track batch job campaigns, monitor job completion status, and aggregate results with summary statistics across all runs. Use when running a parameter study a
Ready to connect★ 66
- View details
sre-reviewSkillMonitoring & ops
Evaluate operational readiness: SLOs, alerting, runbooks, and rollback plan before launch. Use when reviewing a feature for production readiness.
Ready to connect★ 67
- View details
worktree-pr-monitorSkillMonitoring & ops
Create or continue an isolated Matrix OS worktree PR, validate it, push it, monitor CI and GitHub review feedback, iterate until the latest trusted Greptile result is 5/5, then add ready-for-ci and wait for triggered CI to pass before pinging completion. Use when asked to run a worktree to PR to mon
Ready to connect★ 67
- View details
alterlab-geopandasSkillMonitoring & ops
Reads, writes, and analyzes geospatial vector data with the GeoPandas Python library (shapefiles, GeoJSON, GeoPackage), with PostGIS support and integration with matplotlib, folium, and cartopy. Use for spatial analysis and geometric operations — buffer analysis, spatial joins and overlays between d
Ready to connect★ 66
- View details
alterlab-medchemSkillMonitoring & ops
Applies medicinal-chemistry filters with the medchem library — drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, and molecular complexity metrics for compound prioritization and library cleanup. Use when filtering or triaging a compound library, flagging PAINS or reactive grou
Ready to connect★ 66
- View details
alterlab-neuropixelsSkillMonitoring & ops
Analyze Neuropixels 1.0/2.0 extracellular electrophysiology with SpikeInterface — load SpikeGLX/Open Ephys recordings, preprocess and motion-correct, run Kilosort4 spike sorting, compute quality metrics, apply Allen/IBL curation, and do AI-assisted visual inspection. Use when working with neural rec
Ready to connect★ 66
- View details
alterlab-pytorch-lightningSkillMonitoring & ops
Scalable deep-learning training with PyTorch Lightning — organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, build data pipelines and callbacks, log to W&B or TensorBoard, and run distributed training (DDP, FSDP, DeepSpeed). Use when structuring PyTorch training loops,
Ready to connect★ 66
- View details
alterlab-rfdiffusionSkillMonitoring & ops
Generate de-novo protein backbones with RFdiffusion (Watson 2023) — a diffusion model for unconditional monomer generation, motif scaffolding, binder design against a target, and symmetric oligomers. Use when generating a new protein backbone from scratch, scaffolding a functional motif into a fold,
Ready to connect★ 66
- View details
alterlab-scikit-bioSkillMonitoring & ops
Analyze biological data with scikit-bio — sequence analysis and alignments, phylogenetic trees, alpha/beta diversity metrics (including UniFrac), ordination (PCoA), PERMANOVA statistics, and FASTA/Newick I/O. Use for microbiome and community-ecology analysis — computing diversity, distance matrices,
Ready to connect★ 66
- View details
alterlab-social-science-methodsSkillMonitoring & ops
Guides advanced social science research methods — discourse analysis (Fairclough CDA, Gee), conversation analysis, quantitative content analysis, Qualitative Comparative Analysis (QCA), process tracing, archival research, participatory/community-based research (PAR, CBPR), Delphi and Q methodology,
Ready to connect★ 66
- View details
alterlab-statsmodelsSkillMonitoring & ops
Statistical modeling in Python with statsmodels — OLS, GLM, mixed models, and ARIMA with detailed diagnostics, residuals, and inference. Use when fitting specific model classes for econometrics, time series, or rigorous inference with coefficient tables and confidence intervals. For guided statistic
Ready to connect★ 66
- View details
alterlab-torch-geometricSkillMonitoring & ops
Graph Neural Networks with PyTorch Geometric (PyG) — node and graph classification, link prediction, GCN, GAT, and GraphSAGE layers, heterogeneous graphs, and molecular property prediction. Use when building or training GNNs for geometric deep learning on graph-structured data. Part of the AlterLab
Ready to connect★ 66
- View details
alterlab-umapSkillMonitoring & ops
Nonlinear dimensionality reduction with UMAP — fast manifold learning for 2D/3D visualization, clustering preprocessing (e.g., HDBSCAN), and supervised or parametric UMAP. Use when projecting high-dimensional data to low dimensions for visualization, embedding generation, or as a preprocessing step
Ready to connect★ 66
- View details
analyze-growthSkillMonitoring & ops
Growth analysis workflow — chain AARRR analysis, data reporting, growth strategy, and iteration planning Use when: Analyzing growth metrics, planning growth initiatives, or optimizing product performance
Ready to connect★ 66
- View details
- View details
bash-loggingSkillMonitoring & ops
This skill should be used when the user asks to "add logging to bash script", "colorize output", "implement log levels", "CI/CD sections", "terminal colors in bash", or mentions logging functions, emoji output, collapsible CI sections, or shlocksmith.
Ready to connect★ 66
What is a skill?
A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.
54,764 of the 55,196 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.
Install one and every AI you use gets it
Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.
Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.