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: Productivity
2,599 results · page 30 of 87
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superpowersSkillProductivity
Use at the start of any non-trivial task — establishes the Superpowers methodology and how to discover/use its skills. Invoke the relevant skill before any reply (including clarifying questions). Corresponds to the deepx working mode sp.
Ready to connect★ 389
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vague-helperSkillProductivity
A helpful tool utility assistant service agent for tasks
Ready to connect★ 384
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calctlSkillProductivity
Manage Apple Calendar events via icalBuddy + AppleScript CLI
Ready to connect★ 382
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concise-planningSkillProductivity
Lets your agent turn a coding task request into a clear, actionable checklist.
Ready to connect★ 382
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day-plannerSkillProductivity
Daily planning skill that reviews recent interactions, scans external environment, identifies tasks for today, and updates the Goals, Plan, and Status section in PROACTIVE.md.
Ready to connect★ 382
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gcalcli-calendarSkillProductivity
Google Calendar via gcalcli: today-only agenda by default, bounded meaning-first lookup via agenda scans, and fast create/delete with verification--optimized for low tool calls and minimal output.
Ready to connect★ 382
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heartbeat-processorSkillProductivity
Process the unified proactive heartbeat by reading PROACTIVE.md and executing all due tasks across every frequency (hourly/daily/weekly/monthly).
Ready to connect★ 382
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openspec-apply-changeSkillProductivity
Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
Ready to connect★ 380
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agent-factorySkillProductivity
Creates specialized worker agents dynamically from templates. Use when orchestrator needs to spawn task-specific workers for parallel execution. Handles agent lifecycle: create -> execute -> cleanup.
Ready to connect★ 377
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board-of-directorsSkillProductivity
Simulate a 5-member expert board deliberation for major decisions. Use when evaluating plans, architecture choices, feature designs, or any decision requiring multi-perspective expert analysis. Triggers: 'board review', 'get expert opinions', 'board meeting', 'director evaluation', 'consensus review
Ready to connect★ 377
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loop-executorSkillProductivity
Evaluate-Loop Step 3: EXECUTE. Use this agent to implement tasks from a verified plan. Works through plan.md tasks sequentially, writes code, updates plan.md after every task, and commits at checkpoints. Uses TDD where applicable. Triggered by: 'execute plan', 'implement track', 'build feature', '/c
Ready to connect★ 377
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loop-fixerSkillProductivity
Evaluate-Loop Step 5: FIX. Use this agent when an evaluation (plan or execution) returns FAIL. Takes the evaluator's fix list, creates specific fix tasks in plan.md, executes the fixes, and triggers re-evaluation. Handles the loop-back mechanism of the Evaluate-Loop. Triggered by: evaluation FAIL ve
Ready to connect★ 377
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loop-plan-evaluatorSkillProductivity
Evaluate-Loop Step 2: EVALUATE PLAN. Use this agent to verify an execution plan before any code is written. Checks scope alignment, overlap with completed work, DAG validity, dependency correctness, task clarity, and invokes Board of Directors for major tracks. Outputs PASS/FAIL verdict. Triggered b
Ready to connect★ 377
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loop-plannerSkillProductivity
Evaluate-Loop Step 1: PLAN. Use this agent when starting a new track or feature to create a detailed execution plan. Reads spec.md, loads project context, and produces a phased plan.md with specific tasks, acceptance criteria, and dependencies. Triggered by: 'plan feature', 'create plan', 'start tra
Ready to connect★ 377
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track-managerSkillProductivity
Manage Conductor tracks, phases, and tasks. Use when working with track status, updating task markers, or navigating between tracks. Enforces the Evaluate-Loop workflow.
Ready to connect★ 377
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tbdSkillProductivity
Git-native issue tracking (beads), coding guidelines, knowledge injection, and spec-driven planning for AI agents. Drop-in replacement for bd/Beads with simpler architecture. Use for: tracking issues/beads with dependencies, creating bugs/features/tasks, planning specs, implementing features from sp
Ready to connect★ 374
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sddSkillProductivity
Spec-Driven Development for Siemens IX: turns user-provided issue or tracking text into spec.md, plan.md, and tasks.md (GitHub spec-kit style, size-aware, no tracker integration). Use when the user asks for SDD, spec-kit planning, or structured feature docs from issue text (e.g. IX-1234 plus pasted
Ready to connect★ 373
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code-assistSkillProductivity
Implement coding tasks with an explore-plan-code workflow and explicit verification gates.
Ready to connect★ 372
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tasker-xmlSkillProductivity
Create Tasker profiles and tasks via XML for Android automation. Use when adding new Tasker functionality, creating Intent Received handlers, or building automation that integrates with the rho.tasker extension.
Ready to connect★ 372
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cookSkillProductivity
Agent orchestration primitives — review loops, repeat passes, parallel races, and task-list progression. No CLI needed. Use when the user wants iterative refinement, competing approaches, or autonomous task completion.
Ready to connect★ 371
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autodock-vina-dockingSkillProductivity
Molecular docking with AutoDock Vina (Python API). Receptor/ligand prep (Meeko + RDKit), grid box, docking, pose and binding energy analysis, and batch virtual screening.
Ready to connect★ 362
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dask-parallel-computingSkillProductivity
Parallel/distributed computing for larger-than-RAM data. Components: DataFrames (parallel pandas), Arrays (parallel NumPy), Bags, Futures, Schedulers. Scales laptop to HPC cluster. For single-machine speed use polars; for out-of-core without cluster use vaex.
Ready to connect★ 362
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matlab-scientific-computingSkillProductivity
MATLAB/GNU Octave numerical computing: matrices, linear algebra, ODEs, signal processing, optimization, statistics, scientific visualization. MATLAB-syntax examples run on both. For Python use numpy/scipy; for statistical modeling use statsmodels.
Ready to connect★ 362
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scikit-learn-machine-learningSkillProductivity
Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines. Linear models, tree ensembles, SVMs, K-Means, PCA, t-SNE. Use PyTorch/TF for deep learning; XGBoost/LightGBM for scale.
Ready to connect★ 362
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shap-model-explainabilitySkillProductivity
Model interpretability via SHAP (Shapley values from game theory). Covers explainer choice (Tree, Deep, Linear, Kernel, Gradient, Permutation), feature attribution, and plots (waterfall, beeswarm, bar, scatter, force, heatmap). Use to explain ML predictions, rank features, debug models, audit fairne
Ready to connect★ 362
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smina-molecular-dockingSkillProductivity
smina molecular docking CLI. AutoDock Vina fork with customizable scoring functions, native SDF/MOL2/PDB ligand input, autoboxing, local energy minimization, and per-atom score breakdowns. Pipeline: receptor PDBQT prep -> ligand prep (RDKit/OpenBabel) -> dock via autobox or explicit grid -> rescore/
Ready to connect★ 362
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kc-issueSkillProductivity
Spin up an isolated agent to work a kube-coder issue. Given an issue number, creates a clean git worktree branched from a freshly-fetched origin/main, pulls the issue text, and launches a background Claude task that is BORN inside that worktree (workdir=worktree) so it cannot work in the shared clon
Ready to connect★ 354
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remote-taskSkillProductivity
Launch a Claude task on a remote kube-coder workspace, check task status, or attach to a running session. Use when the user wants to send work to a remote workspace pod.
Ready to connect★ 354
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product-enrichSkillProductivity
Enrich FF&E schedule rows with categories, colors, materials, and style tags. Use to tag, categorize, or fill those missing fields; not to research new products.
Ready to connect★ 352
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product-pairSkillProductivity
Suggest complementary products that pair well with a given item — side tables for sofas, task lights for desks, etc. Use when the user asks "what goes with" a product, wants coordinating pieces, or asks to complete a furniture grouping.
Ready to connect★ 352
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.
52,524 of the 52,958 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.