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
2,715 results · page 79 of 91
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hmos-multidevice-hardware-accessSkillProductivity
Handle HarmonyOS hardware-capability adaptation through a declarative scene and resource index. Use when the task involves camera selection, camera rotation/stride/foldable adaptation, sensor availability, canIUse or SysCap checks, hardware fallback strategy, external device access, or multi-device
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Meeting SchedulerSkillProductivity
Schedules meetings with internal and external stakeholders by parsing natural language requests, resolving time zones, checking calendar availability, proposing optimal slots, and managing invitations and RSVPs.
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model-escalationSkillProductivity
Advisory model escalation based on task outcome tracking
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new-list-screenSkillProductivity
Generate a new UI/VM module pairing with a scrolling list screen — blurred top bar, pull-to-refresh, shimmer loading, and Loading/Empty/Failure/Success states. Uses ListSchedulesScreen as the reference template.
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ohos-req-value-decisionSkillProductivity
Use after review meeting to record decision and route to next step. Triggers: 评审决策纪要, 评审结论回流, value decision, 评审接纳, 评审不接纳, 评审退回, 下次重新上会. Do NOT use for feature baseline (ohos-req-feature-baseline), review gate checks (ohos-req-review-gate), or IR generation (ohos-req-feature-to-ir).
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primeSkillProductivity
Use in a repo that has sound taste rules installed (a `.claude/sound/` directory), before writing or editing code — at the start of a coding task, and again when the work reaches a surface it was not planned to touch.
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Project ManagementSkillProductivity
Manages software projects end-to-end — decomposing work into tasks, tracking progress across sprints, generating status reports, and integrating with tools like Jira, Linear, GitHub Issues, and Trello.
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run-module-testsSkillProductivity
Identify and run the correct Gradle test task for a given module based on its source sets and plugin type.
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secretary-routingSkillProductivity
Routes agent management tasks to the correct manager agent. Use when user requests agent creation, updates, audits, git operations, or verification.
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skill-extractorSkillProductivity
Analyze task trajectories to propose reusable SKILL.md candidates from successful patterns
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social-media-postingSkillProductivity
Create, adapt, and schedule social media content across platforms with platform-specific formatting, engagement hooks, and strategic posting cadence.
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taskpool-dependency-analysisSkillProductivity
Analyze, diagnose, and fix taskpool task dependency problems in static ArkTS — including circular dependency (10200026), missing dependency (10200027), dependent tasks not waking after dependency completion, cancel propagation through dependency chains, and illegal addDependency/removeDependency on
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assess-contextSkillProductivity
AI context assessment — evaluating problem malleability, mapping structural rigidity versus flexibility, analyzing transformation pressure, and estimating capacity to adapt. Use when a complex task feels stuck and it is unclear whether to push through or pivot, before a significant approach change t
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attuneSkillProductivity
AI relational calibration — reading and adapting to the specific person you are working with. Goes beyond user-intent alignment (solving the right problem) to genuine attunement (meeting the person where they are). Maps communication style, expertise depth, emotional register, and implicit preferenc
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beansSkillProductivity
Task tracking and issue management for this Citum project using the `beans` CLI. Always use this skill — never TodoWrite — when the user mentions tasks, todos, work items, what to work on next, creating/updating/closing issues, or asks about project status. Trigger on: "what should I work on", "what
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breatheSkillProductivity
AI micro-reset between actions — the lightest self-care unit. A single conscious pause to check alignment before the next step. Where meditate is a full clearing session, breathe is one deliberate moment of awareness between tool calls or reasoning steps. Use mid-task when drift might be accumulatin
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briefing-an-agentSkillProductivity
Prepares focused context for an AI agent, reviewer, verifier, or releaser at the start of a task, with a clear role, goal anchor, authority, evidence to produce, forbidden actions, and stop conditions. Use when an agent or reviewer is about to begin work and needs bounded context before it starts. D
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centerSkillProductivity
AI dynamic reasoning balance — maintaining grounded reasoning under cognitive pressure, smooth chain-of-thought coordination, and weight-shifting cognitive load across subsystems. Use at the beginning of a complex task requiring multiple coordinated reasoning threads, after a sudden context shift or
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choose-loop-wakeup-intervalSkillProductivity
Select a `delaySeconds` value when scheduling a loop wakeup via the `ScheduleWakeup` tool or the `/loop` slash command. Covers the three-tier cache-aware decision (cache-warm under 5 minutes, cache-miss 5 minutes to 1 hour, idle default 20 to 30 minutes), the 300-second anti-pattern, the [60, 3600]
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circuit-breaker-patternSkillProductivity
Implement circuit breaker logic for agentic tool calls — tracking tool health, transitioning between closed/open/half-open states, reducing task scope when tools fail, routing to alternatives via capability maps, and enforcing failure budgets to prevent error accumulation. Separates orchestration (d
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conduct-gxp-auditSkillProductivity
Conduct a GxP audit of computerized systems and processes. Covers audit planning, opening meetings, evidence collection, finding classification (critical/major/minor), CAPA generation, closing meetings, report writing, and follow-up verification. Use for scheduled internal audits, supplier qualifica
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conscientiousnessSkillProductivity
Thoroughness and diligence in execution — systematic checking, completeness verification, follow-through on commitments, and the discipline of finishing well. Maps the personality trait of conscientiousness to AI task execution: not cutting corners, verifying results, and ensuring that what was prom
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create-github-issuesSkillProductivity
Structured GitHub issue creation from review findings or task breakdowns. Groups related findings into logical issues, applies labels, and produces issues with standard templates including summary, findings, and acceptance criteria. Designed to consume output from review-codebase or similar review s
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cultivate-bonsaiSkillProductivity
Cultivate bonsai trees from species selection through long-term seasonal care. Covers species suitability, structural and maintenance pruning, wiring technique, repotting protocol, soil mix preparation, seasonal care schedules, and contemplative sitting practice. Use when selecting a species for a f
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explore-diophantine-equationsSkillProductivity
Solve Diophantine equations (integer-only solutions) including linear, quadratic, and Pell equations. Covers the extended Euclidean algorithm, descent methods, and existence proofs. Use when finding all integer solutions to ax + by = c, solving Pell's equation, generating Pythagorean triples, provin
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issue-workflowSkillProductivity
Apply when creating or tracking a GitHub issue, or planning multi-step work — the issue template and the task convergence loop.
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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.
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.