Discover and install skills, docs, and rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
christopher-buss/skills Node.js package manager with strict dependency resolution. Use when running pnpm specific commands, configuring workspaces, or managing dependencies with catalogs, patches, or overrides. | Skills | — |
christopher-buss/skills Write tests, mock functions, assert values, and configure test suites for Roblox/Luau code using Jest Roblox — a Luau port whose API diverges from JS Jest in subtle, non-obvious ways that LLM training data does not cover. Use whenever encountering Jest in Roblox/Luau code: editing .spec test files, calling jest.fn/jest.mock/spyOn, using describe/it/expect, or debugging Jest tests. | Skills | — |
christopher-buss/skills Use when building ECS-based games in Roblox with roblox-ts using jecs for entities, components, queries, and relationships | Skills | — |
christopher-buss/skills Opinionated preferences for roblox-ts development. Use when setting up new roblox-ts projects or when coding style/tooling decisions arise. | Skills | — |
christopher-buss/skills Use when designing components, systems, or entity structures for jecs in Roblox. Use when deciding if data should be one component or multiple, when archetype transitions seem expensive, or when choosing entity members vs relationships. | Skills | — |
Leo-stone-dot/my_life_agent 为给定问题挑选“最适合回答的人”的专家角色,并用该角色给出回答(含选择理由与行动清单) | Skills | — |
Leo-stone-dot/my_life_agent Use when 需要计算/解释投资组合的年化收益率、月度现金流与长期(如30年)资产路径,且包含固定支出与不确定收入(自由职业波动、随机收入、回款集中)并需要给出耗尽概率与分位数(P10/P50/P90) | Skills | — |
CRISOMG/yourfocus Build UIs with @nuxt/ui v4 — 125+ accessible Vue components with Tailwind CSS theming. Use when creating interfaces, customizing themes to match a brand, building forms, or composing layouts like dashboards, docs sites, and chat interfaces. | Skills | — |
Leo-stone-dot/my_life_agent 改进你的问题 | Skills | — |
stevenknowswhy/three-critic-judge-skill Run an explicitly requested three-option workflow with three independent executors, one independent paired critic per option, bounded revision loops, and a blind evidence-backed judge. Use only when the user invokes $three-way-judge or explicitly requests this exact panel; this v1 skill does not run the nine-review deep mode. | Skills | — |
llaskin/skill-eval-test Analyzes discovery call transcripts from Attio (primary) and Granola (secondary) against the Discovery Questions Tracker template, creates or appends to a Google Sheet in the Discovery folder with full scoring, customer answers, and evidence, and posts a summary note to the Attio company record. Outputs an xlsx with tabs matching the original spreadsheet template. Use when the user wants to process a discovery call, fill out discovery questions, create a discovery doc, or run /discovery. | Skills | — |
llaskin/AI-SDR-Skill-Pack Use when drafting evidence-backed opening lines or subject lines for an eligible contact. | Skills | — |
llaskin/AI-SDR-Skill-Pack Use when transforming or auditing an existing or already-scoped one-off draft against approved or provisional voice rules after its message type is chosen. | Skills | — |
llaskin/AI-SDR-Skill-Pack Use when creating an evidence-based candidate-account list or an offline sourcing plan from supplied account criteria and records. | Skills | — |
llaskin/AI-SDR-Skill-Pack Use when converting supplied ICP criteria, exclusions, consent requirements, or evidence standards into deterministic eligibility rules. | Skills | — |
llaskin/AI-SDR-Skill-Pack Use when validating an intent classifier or ranking independently eligible account and contact records from supplied evidence. | Skills | — |
llaskin/AI-SDR-Skill-Pack Use when reviewing supplied dated evidence for recent account signals, buying-context changes, or a manual weekly pulse. | Skills | — |
llaskin/AI-SDR-Skill-Pack Use when deciding whether supplied outbound copy passes relevance, recipient-fit, evidence, eligibility, consent, policy, and operational gates. | Skills | — |
llaskin/AI-SDR-Skill-Pack Use when reviewing experiment results against a declared hypothesis, primary metric, and decision rule. | Skills | — |
llaskin/AI-SDR-Skill-Pack Use when investigating a market trend, category narrative, industry shift, or competing interpretation from supplied or authorized research evidence. | Skills | — |
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