Amb més estrelles
Els skills amb més estrelles de la comunitat. Revisa’n el contingut abans d’utilitzar-los.
my-skill
LukeRenton
What this skill does and when to use it. Claude reads this to decide relevance. Include keywords users would naturally say.
observability-first-debugging
NTCoding
"Systematic debugging methodology that eliminates guessing and speculation. Add instrumentation to gather specific data that fully explains the problem. Evidence before hypothesis. Observation before solution. Triggers on: debugging, error investigation, 'why is this failing', unexpected behavior, test failures, non-zero exit codes, stack traces."
bpmn-workflow
WellApp-ai
Generate and maintain BPMN 2.0 diagrams linked to Gherkin scenarios
project-planning
athola
"Transform specifications into implementation plans with architecture design and dependency-ordered tasks. Use for spec-to-plan conversion, task breakdown, effort estimation. Skip if no spec exists."
build-agent
LukeRenton
Builds new Claude Code agents with consistent structure, enforced standards, and project-aware configuration. Use when creating a new agent, when the user describes a specialised role they want delegated to, or when discussing team composition.
build-skill
LukeRenton
Builds new Claude Code skills with consistent structure, enforced standards, and project-aware configuration. Use when creating a new skill, when the user describes a workflow they want automated, or when the user says they want a new slash command.
core-brainstorm
LukeRenton
Collaborative brainstorming mode for thinking through problems, ideas, and features before planning. Use when the user wants to discuss, explore ideas, or think through a problem without writing code.
topic-reviewer
zephyrwang6
选题审核工具。检查选题是否符合发布标准，给出通过/不通过判断及修改建议。当用户说"审核选题"、"这个选题行不行"、"帮我看看这个能不能写"时触发。
precise
microprediction
Online (incremental) covariance, correlation, and precision estimation in Python — the streaming complement to sklearn.covariance. Use when code needs a covariance/correlation matrix updated per observation, recomputes np.cov/np.corrcoef in a rolling loop, must judge or compare covariance estimates, or proposes a new covariance methodology. Points to task-specific skills.
assess-covariance-method
microprediction
Rigorously and honestly assess a NEW or proposed covariance / correlation / precision estimator, or a new covariance scoring rule, using precise. Use when someone proposes, asks to evaluate, or wants to compare a covariance methodology. Covers implementing it to the contract, conformance, benchmarking against the registry, out-of-sample validation, and statistically defensible inference.
choose-covariance-estimator
microprediction
Pick which precise covariance estimator to use for a given dataset. Use when you have data X and are unsure which estimator fits its dimension, conditioning, or tail behavior. Wraps precise.suggest() and covariance_features().
keyed-dynamic-universe
microprediction
Maintain an online covariance over named series whose set changes over time (e.g. assets entering and leaving). Use when observations arrive as dicts keyed by name rather than fixed-length vectors. Wraps precise's keyed / FixedUniverse / DynamicUniverse adapters.
score-covariance-estimate
microprediction
Score and compare covariance estimates with precise's assessor panel. Use when you need to judge an estimate out-of-sample or rank competing estimators — and especially in high dimensions, where the plain held-out likelihood is misleading.
estimate-online-covariance
microprediction
Estimate a covariance / correlation / precision matrix incrementally with precise. Use when data arrives as a stream and you want the matrix updated per observation, or when you want an online (partial_fit) drop-in for sklearn.covariance, which is batch-only.
learn-graph
Li-Evan
当用户要系统学一个新领域、不知道从哪入手、或担心「学得不够系统」时使用。用「知识图谱学习法」和用户一起构建该领域的概念/用途/父子节点图谱（自己建图的过程本身就是学习），标出复用价值最高的节点和「从常识就能入门的点」，给出有效学习路径并回答「学到哪算够」。触发场景：系统学 X 领域、从哪开始学、学得不系统、想要 X 的全貌、规划学习路径、这个领域有多大。
product-analytics
tin-computer
Read one connected PostHog project and deliver a recurring, evidence-based product analytics brief.
answer-visibility-audit
tin-computer
Build and score a small target-blind AI answer visibility panel.
posthog-funnel
tin-computer
Investigate one funnel through a bounded, project-approved PostHog API connection.
create-workflow
tin-computer
Author a bounded Tin workflow package and reviewable qualification cases from a brief.
evidence-first-answer-page
tin-computer
Draft one useful answer page from durable project context and current public evidence.
00-safe-gardener
tin-computer
Consolidate durable project outputs into a concise, evidence-grounded wiki index.
01-readonly-inventory
tin-computer
Extract stable project knowledge without altering or overstating source material.
02-provenance-review
tin-computer
Require durable provenance for every source used in the project-memory index.
00-evidence-first
tin-computer
Produce a concise project scan from supplied system and project knowledge.