Discover and install skills to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
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 | — |
llaskin/AI-SDR-Skill-Pack Use when summarizing pipeline counts, supplied movements, risks, and review priorities from an offline snapshot or comparison period. | Skills | — |
llaskin/AI-SDR-Skill-Pack Use when drafting one bounded follow-up after a supplied meeting record is marked no-show. | Skills | — |
llaskin/AI-SDR-Skill-Pack Use when deciding whether supplied account and conversation evidence makes a sales meeting appropriate. | Skills | — |
llaskin/AI-SDR-Skill-Pack Use when deriving a reusable messaging voice profile from user-approved writing samples or explicit approved voice guidance. | Skills | — |
llaskin/AI-SDR-Skill-Pack Use when preparing a reviewable sales handoff brief from supplied account, contact, and interaction records for a next owner. | Skills | — |
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