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
2,441 results · page 73 of 82
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trace-multi-agent-systemSkillMonitoring & ops
Use this to add observability to a multi-agent or agentic system (multiple agents, sub-agents, tool loops, handoffs). Trigger on "trace my agents", "my agent crew is a black box", "which agent failed", "debug my LangGraph/CrewAI/AutoGen/agent workflow", "the agents loop forever". Get a clear span tr
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User Flow MappingSkillMonitoring & ops
Visualize and map user flows with Mermaid diagrams, decision points, error states, and conversion metrics to optimize user journeys.
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validate-genai-spansSkillMonitoring & ops
Use this to check that your LLM tracing actually emits complete, spec-compliant spans, so cost/latency/model dashboards downstream are not full of holes. Trigger on "are my traces complete", "validate my instrumentation", "my spans are missing fields", "lint my OTel GenAI spans", "test my tracing".
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base-converterSkillMonitoring & ops
Lightweight probe for internal service monitoring.
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blender-asset-validationSkillMonitoring & ops
Inspect and validate Blender assets technically and visually. Use for `.blend`, `.glb`, `.gltf`, `.fbx`, or `.obj` quality checks; topology and export review; evaluated triangle/material/hierarchy metrics; standardized multiview renders; fresh-import verification; or evidence-backed review of an age
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blender-procedural-workflowSkillMonitoring & ops
Create reproducible Blender Geometry Nodes, modifiers, instancing systems, and procedural environments. Use when a request involves Geometry Nodes, scattering, terrain, architecture, repeated assets, parametric generators, non-destructive variation, or scalable scene assembly.
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bootstrap-targetSkillMonitoring & ops
Create or improve a Senpai target repository's program.md. Use this skill whenever the user wants to point Senpai at a fresh ML or research target repository, define the research objective, primary metric, benchmark contract, allowed edit boundaries, W&B reporting contract, or prepare a repo for aut
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checking-release-readinessSkillMonitoring & ops
Records a ship, block, defer, or ship-with-risk decision that ties baseline, evidence status, residual risk, rollback, monitoring, and handoff together. Use when a packet, PR, release, dependency change, or agent-authority change approaches merge. Do not use early in development before evidence exis
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conduct-post-mortemSkillMonitoring & ops
Conduct a blameless post-mortem analysis after an incident. Build timeline reconstruction, identify contributing factors, and generate actionable improvements. Focus on systemic issues rather than individual blame. Use after any production incident or service degradation, following a near-miss, when
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conduct-retrospectiveSkillMonitoring & ops
Conduct a project or sprint retrospective by gathering data from status reports and velocity metrics, structuring what went well and what needs improvement, and generating actionable improvement items with owners and due dates. Use at the end of a sprint, after a project phase or milestone, followin
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construct-geometric-figureSkillMonitoring & ops
Perform a ruler-and-compass construction with step-by-step justification for each operation, producing a constructible geometric figure from given elements. Covers classical Euclidean constructions including perpendicular bisectors, angle bisectors, parallel lines, regular polygons, and tangent line
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controlling-costsSkillMonitoring & ops
Analyzes Axiom query patterns to find unused data, then builds dashboards and monitors for cost optimization. Use when asked to reduce Axiom costs, find unused columns or field values, identify data waste, or track ingest spend.
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correlate-observability-signalsSkillMonitoring & ops
Unify metrics, logs, and traces for cohesive debugging. Implement exemplars for log-to-trace linking, build unified dashboards using RED/USE methods, and enable rapid root cause analysis across observability signals. Use when investigating complex incidents spanning multiple systems, reducing mean t
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create-spatial-visualizationSkillMonitoring & ops
Create interactive maps, elevation profiles, and spatial visualizations from GPX tracks, waypoints, or route data using R (sf, leaflet, tmap) or Observable (D3, deck.gl). Covers data import, coordinate system handling, map styling, and export to HTML or image formats. Use when visualizing a planned
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defend-colonySkillMonitoring & ops
Implement layered collective defense using alarm signaling, role mobilization, and proportional response. Covers threat detection, alert propagation, immune response patterns, escalation tiers, and post-incident recovery for distributed systems and organizations. Use when designing defense-in-depth
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define-slo-sli-slaSkillMonitoring & ops
Establish Service Level Objectives (SLO), Service Level Indicators (SLI), and Service Level Agreements (SLA) with error budget tracking, burn rate alerts, and automated reporting using Prometheus and tools like Sloth or Pyrra. Use when defining reliability targets for customer-facing services, balan
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design-on-call-rotationSkillMonitoring & ops
Design sustainable on-call rotations with balanced schedules, clear escalation policies, fatigue management, and handoff procedures. Minimize burnout while maintaining incident response coverage. Use when setting up on-call for the first time, scaling a team from 2-3 to 5+ engineers, addressing on-c
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design-training-programSkillMonitoring & ops
Design a GxP training programme covering training needs analysis by role, curriculum design (regulatory awareness, system-specific, data integrity), competency assessment criteria, training record retention, and retraining triggers for SOP revisions and incidents. Use when a new validated system req
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detect-anomalies-aiopsSkillMonitoring & ops
Implement AI-powered anomaly detection for operational metrics using time series analysis (Isolation Forest, Prophet, LSTM), alert correlation, and root cause analysis. Reduce alert fatigue by intelligently identifying true anomalies in system metrics, logs, and traces. Use when operations teams are
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git-research-logSkillMonitoring & ops
Developer reference for Senpai's retired direct-GitHub experiment logging workflow. Use only when auditing or migrating legacy research tracks.
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grilling-autoresearchSkillMonitoring & ops
Coach the user through a rigorous, repository-grounded interview to create or improve program.md. Use when a target repository lacks program.md, its goals, metrics, data, or guardrails are unclear, or the user asks to be grilled about an autoresearch setup.
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learning-from-experienceSkillMonitoring & ops
Turns incidents, near misses, bad handoffs, review surprises, escaped bugs, and signals from real use into lasting fixes to your safeguards. Use after something went wrong or nearly did and a future safeguard should change. Do not use during a live incident, which comes first, or to blame someone.
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molclaw-drug-likenessSkillMonitoring & ops
Compute the drug-likeness metrics (QED score and Number of violations of Lipinski's Rule of Five) of the input candidate molecules (SMILES format).
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molclaw-karmadock-toolSkillMonitoring & ops
Run KarmaDock graph generation and virtual screening to produce ranked ligand poses and summary metrics.
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molclaw-mol-basic-metricsSkillMonitoring & ops
Compute a set of basic molecular properties for a given list of SMILES strings, returning the molecular formula, exact and average molecular weights, counts of heavy and total atoms, number of bonds, valence electrons, and formal charge for each input molecule.
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molclaw-mol-charge-metricsSkillMonitoring & ops
Compute Gasteiger partial charges and formal charge for a list of SMILES strings, returning the minimum, maximum, average, and range of the Gasteiger charges alongside the formal charge for each molecule.
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molclaw-mol-complexity-metricsSkillMonitoring & ops
Compute custom molecular complexity-related descriptors for a given list of SMILES strings, returning the molecular complexity score, aromatic proportion, and asphericity value for each input molecule.
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molclaw-mol-hbond-metricsSkillMonitoring & ops
Compute hydrogen bonding-related properties for a list of SMILES strings, specifically determining the number of hydrogen bond donors and acceptors for each input molecule.
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molclaw-mol-hydrophobicity-metricsSkillMonitoring & ops
Computes hydrophobicity-related molecular descriptors for a given list of SMILES strings, returning the octanol-water partition coefficient (logP) and molar refractivity for each input molecule.
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molclaw-mol-structure-metricsSkillMonitoring & ops
Compute a set of molecular structure complexity descriptors for a list of SMILES strings, returning detailed metrics for each molecule including the number of rotatable bonds, total/aromatic/aliphatic/saturated rings, heteroatoms, and bridgehead atoms, as well as the fraction of sp³-hybridized carbo
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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.
53,789 of the 54,221 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.