Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
49,492 skills from 2,391 repositories · updated 15 hours ago
49,490 skills
- change-and-adoptioncbrock84/headcountGets people to actually use what was delivered — stakeholder analysis, communication, training, resistance, and measuring adoption. Use this to plan a rollout, recover an implementation nobody is using, handle resistance to a change, sequence communications, or work out why a technically successful project changed nothing.PlanningNo warnings★ 2.6K↓ —
- support-operationscbrock84/headcountDesigns and runs the support function — channels, queues, routing, staffing, service levels, quality, and the metrics that show whether it is working. Use this to set up or fix support operations, choose channels, size a team, set or renegotiate service levels, reduce cost per contact, diagnose long queues or poor quality, or decide what to automate.OtherNo warnings★ 2.6K↓ —
- pybammK-Dense-AI/scientific-agent-skillsSimulates lithium-ion battery charge, discharge and rest experiments with PyBaMM, records parameter-set provenance, checks mesh and solver sensitivity, and compares predicted voltage curves with measured cycling data. Use for SPM or DFN electrochemical battery modeling, C-rate protocols, voltage cutoffs, parameter studies and numerical validation of battery simulations.OtherNo warnings★ 56.1K↓ —Also in 2 other repos
- delikte-furtumKlotzkette/claude-fuer-deutsches-rechtFür Delikte Furtum: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- kommandocenterKlotzkette/claude-fuer-deutsches-rechtFür Deal-Kommandocenter — Corporate/M&A: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Corporate-Kanzlei. Route: kommandocenter.OtherNo warnings★ 1.8K↓ —
- scenario-luma-videoscenario-labs/skillsUse when generating or editing video with Luma Ray models on Scenario via MCP: cinematic text-to-video, image-to-video from a start frame, start plus end frame anchors, seamless looping clips, HDR output, restyling footage while preserving motion with edit strengths and face, pose, depth, or trajectory controls, reframing to another aspect ratio by outpainting, or budget prompt edits on real footage. Keywords: Luma, Dream Machine, Ray 3.2, Ray 3, Modify Video, Reframe, T2V, I2V, V2V, loop, HDR.MediaNo warnings★ 2.2K↓ —
- memorycodeaholicguy/ai-devkitAI DevKit · Use the memory CLI as a durable knowledge layer. Search before non-trivial work, store verified reusable knowledge, update stale entries, and avoid saving transcripts, secrets, or one-off task progress.ProductivityNo warnings★ 1.7K↓ —
- get-available-resourcesK-Dense-AI/scientific-agent-skillsDetects host inventory and effective CPU, memory, disk, scheduler, container, and accelerator limits when a user asks for resource-aware planning or before a clearly resource-sensitive local workload. Produces a redacted JSON snapshot and conservative planning helpers without stress tests or assuming visible host hardware is usable.TestingNo warnings★ 56.1K↓ —
- sales-compensation-and-territorycbrock84/headcountDesigns quotas, territories and commission plans that produce the behavior the business needs — sizing territories against real potential, setting quotas people can hit often enough to believe in, choosing what to pay on, handling accelerators, draws, clawbacks and disputes, and changing a plan without destroying trust. Use this to build or fix a comp plan, allocate territories, work out why reps are chasing the wrong deals, or plan a mid-year change.PlanningNo warnings★ 2.6K↓ —
- mietsenkungsverlangenKlotzkette/claude-fuer-deutsches-rechtFür Mietsenkungsverlangen (Mietpreisbremse, WiStrG 1954, Wucher): ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- discordLeoYeAI/agent-master-skillsUse when you need to control Discord from Clawdbot via the discord tool: send messages, react, post or upload stickers, upload emojis, run polls, manage threads/pins/search, fetch permissions or member/role/channel info, or handle moderation actions in Discord DMs or channels.EngineeringNo warnings★ 2.2K↓ —
- traction-eoswondelai/skillsImplement the Entrepreneurial Operating System (EOS) to align vision and execution across a company. Use when the user mentions "EOS", "Entrepreneurial Operating System", "V/TO", "quarterly rocks", "Level 10 meetings", "accountability chart", "IDS process", "my company feels chaotic", "we keep having the same problems", or "get the whole team aligned". Also trigger when a growing company needs meeting structure, goal-setting frameworks, or a systematic way to solve recurring organizational issues. Covers the six EOS components: Vision, People, Data, Issues, Process, Traction. For team motivation design, see drive-motivation. For lean experimentation, see lean-startup.DesignNo warnings★ 2.6K↓ —Also in 2 other repos
- scenario-gemini-omniscenario-labs/skillsUse when generating, extending, or editing video with Gemini Omni models on Scenario via MCP: text-to-video, image-to-video from a first frame, reference-to-video keeping a character, product, or place consistent, appending footage to a clip, restyling footage by prompt (season, wardrobe, art style), native audio with dialogue and ambience, or picking between first-frame and reference conditioning. Keywords: Gemini Omni Flash, 1.1 Flash, Google, T2V, I2V, V2V, extend, subject consistency.MediaNo warnings★ 2.2K↓ —
- look-and-feelKlotzkette/claude-fuer-deutsches-rechtFür Corporate-Cowork-Look — Design und Ausgabestandard: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Corporate-Kanzlei. Route: look-and-feel.DesignNo warnings★ 1.8K↓ —
- latchbio-integrationK-Dense-AI/scientific-agent-skillsBuilds, registers, debugs, and operates bioinformatics workflows on Latch using the Python SDK, CLI, Latch Data and Registry, Nextflow, Snakemake, programmatic execution, and Latch MCP. Use when authoring or deploying Latch workflows, configuring resources or interfaces, moving data, integrating Registry, or launching and monitoring runs.DevOpsNo warnings★ 56.1K↓ —
- output-waehlenKlotzkette/claude-fuer-deutsches-rechtFür Output wählen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Insolvenzrecht.OtherNo warnings★ 1.8K↓ —
- transaktionen-ddKlotzkette/claude-fuer-deutsches-rechtFür Energie-Transaktionen und Due Diligence: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- scenario-ideogramscenario-labs/skillsUse when generating or editing images with Ideogram models on Scenario via MCP: posters, logos, menus, packaging, or signage with exact in-image text, editing an image in place while keeping its exact size, transparent PNG generation, background removal that keeps hair and glass edges, editable text layers for localization, or one consistent character from a reference. Keywords: Ideogram 4.5, Precise Edit, V4, V3, typography, aspect ratio, layerize, character reference, inpainting.DesignNo warnings★ 2.2K↓ —
- self-service-and-knowledgecbrock84/headcountBuilds the help center, in-product guidance, and knowledge base that let customers resolve problems without contacting anyone — content, findability, maintenance, and deflection measurement. Use this to build or fix a help center, reduce support volume, write documentation for customers, improve findability, or decide what deserves a help article versus a product fix.WritingNo warnings★ 2.6K↓ —
- production-managementcbrock84/headcountRuns the production schedule — sequencing and releasing work, managing work in process and changeovers, and holding the promised date when the floor and the order book disagree. Use this to build or fix a production schedule, decide what to run next, diagnose why lead times are growing while machines look busy, set up OEE or throughput measurement, or choose between make-to-stock and make-to-order for a product line.FinanceNo warnings★ 2.6K↓ —
- hi-liteLeoYeAI/agent-master-skillsSearch, browse, and rediscover your Kindle highlightsOtherNo warnings★ 2.2K↓ —
- scenario-quality-gatescenario-labs/skillsUse when a generated Scenario image needs a quality check or a brand-brief compliance verdict before it ships: pass/warn/fail scoring, on-brand review against a configured brief, QA gating a batch, pricing or refreshing a stored verdict, or iterating a generation until it clears the gate. Keywords: quality gate, quality check, QA, verdict, brief compliance, on-brand, brand brief, pass fail, score, review, asset_quality_gate_run.TestingNo warnings★ 2.2K↓ —
- scenario-asset-analysisscenario-labs/skillsUse when finished Scenario assets have to give something back: a caption for a dataset or alt text, a reusable style description, a verdict against a brief, a canny, depth, pose, or segmentation control map for the next model, or the asset itself found again by text, tags, or visual similarity and filed into a collection. Keywords: caption, describe, analyze, QA, control map, find similar, reverse image search, semantic search, tag, collection.TestingNo warnings★ 2.2K↓ —
- pathogen-variant-surveillanceK-Dense-AI/scientific-agent-skillsQueries public GenSpectrum LAPIS data for pathogen genomic surveillance, current lineage nomenclature, weekly sequence proportions, reporting delays, and descriptive mutation frequencies. Use for variant surveillance, Pango lineage validation, dominant submitted lineages, Nextclade assignment provenance, SARS-CoV-2, influenza/H5N1 clades, RSV, mpox, measles, dengue, or LAPIS queries. Distinguishes sequence prevalence from infection prevalence, clades from genotypes, missing calls from reference matches, and sampling changes from biological growth advantage.ScienceNo warnings★ 56.1K↓ —
datamol
K-Dense-AI/scientific-agent-skills
DesignUpdated 3 days ago
From the author
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill datamol -a claude-code
Installs to .claude/skills/datamol/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
What it can touch
Instructions onlyUses the networkLicence: Custom or unclear
Safety checks on SKILL.md
No warnings.
Why 89
Security100
Provenance95
Maintenance100
Licence45
Adoption73
Files (10)
- SKILL.md
- references/conformers_module.md
- references/core_api.md
- references/core_workflows.md
- references/descriptors_viz.md
- references/fragments_scaffolds.md
- references/io_module.md
- references/reactions_data.md
- references/review.md
- references/workflow_patterns.md