Loading...
Loading...
Found 412 Skills
Decision-grade entity research skill — produces a hypothesis-tested dossier on a specific company, person, nonprofit, or government org, not a generic profile. Forcing intake makes the user state their hypothesis upfront (what they already believe and want to verify or disprove) so the dossier tests it rather than confirms it. Output is an editable Word document (.docx) with verdict on the hypothesis, identity facts, 12-month activity timeline, network signals, reputation signals, red flags, 3-5 conversation hooks tied to specific findings, and source-provenance audit log. Uses WebSearch + WebFetch + free APIs (SEC EDGAR, GitHub, ProPublica Nonprofit Explorer) as workhorses; optional BYOK MCPs (LinkedIn, Crunchbase, Apollo, Pitchbook, SimilarWeb) enhance coverage. Triggers: 'research [company]', 'dossier on [person/company]', 'background check on [entity]', 'prep me for a meeting with [person/company]', 'due diligence on [company]', 'what should I know about [entity]', 'research [person] before I [meet/hire/invest]', 'competitor research on [company]', 'investor diligence [company]', 'interview prep for [company]'. Honors sensitivity exclusions for journalism + personal-vetting contexts.
For post-market review, focusing on daily review / market research / transaction summary. This Skill is mainly used in scenarios such as answering user questions, writing reports, and creating financial articles. This report generates a large amount of output and is not suitable for simple conversation scenarios. For obtaining various information and data, you can use the wind.financial.data tool with appropriate keywords or keyword combinations. After the market closes, you need to quickly review the entire day's market to understand what happened, which signals are worthy of attention, and how to respond tomorrow.
Build and prioritize a testing backlog from performance signals, then track outcomes with reusable postmortems.
Use when consolidating intent, product usage, and third-party signals to prioritize ABM actions.
Tagging schema for classifying community signals by persona, journey, and business impact.
Performs Technical Due Diligence on startups. Analyzes code (if available) or evaluates public signals (hiring, blogs) to assess technical risk and team maturity.
Input your best customers and find 100+ companies that match the profile. Uses firmographic data, tech stack, growth signals, and similarity scoring to identify ideal prospects. Use when building target account lists or expanding to new markets.
Discover genes associated with diseases and traits using GWAS data from the GWAS Catalog (500,000+ associations) and Open Targets Genetics (L2G predictions). Identifies genetic risk factors, prioritizes causal genes via locus-to-gene scoring, and assesses druggability. Use when asked to find genes associated with a disease or trait, discover genetic risk factors, translate GWAS signals to gene targets, or answer questions like "What genes are associated with type 2 diabetes?"
Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.
SolidJS reactive UI library. Covers signals, effects, and fine-grained reactivity. USE WHEN: user mentions "SolidJS", "Solid", "createSignal", "createEffect", "createMemo", "fine-grained reactivity", asks about "Solid patterns", "reactive primitives" DO NOT USE FOR: React - use `frontend-react` (different API despite similar JSX), Vue - use `vue-composition`, Svelte - use `svelte`, Angular - use `angular`
20 "In Market" Bridgebound triggers from Flip The Script - Adjacent Vendors, Competitors, and Time-Based signals. Use when targeting active buyers, building competitive displacement campaigns, or leveraging seasonal/event timing.
Classified ads and extended API coverage for aibtc.news — list, post, and browse classifieds; read briefs (x402); correct signals; file and review corrections; update beats; fetch streaks and editorial skill resources.