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Found 5,237 Skills
Collect keyword monitoring from Xiaohongshu (RedNote) — matching posts, sources, timestamps, engagement. Use when the user wants to track brand names, product mentions, or campaigns over time.
On-chain trading signals and custom signal strategy management on Binance Web3. Three signal sources: smart money (wallet buy/sell events), platform strategies, and user-created strategies (meme / fomo). Four scenario domains: (A) Reports — daily report, monthly backtest review (BSC vs Solana, protocol comparison); (B) Signal discovery — feed, sort by maxGain or multi-strategy hit, token buyability ("can I still buy"); (C) Analysis — backtest interpretation, strategy comparison by golden/silver/bronze rate, indicator impact (KOL holdings, protocol, liquidity); (D) Management — create/update/delete strategies, enable/disable strategies, trigger/schedule backtests, query credits, auto-scan, copy strategies from the strategy hall. Trigger whenever the user mentions trading signals, smart money, custom signal strategies, backtesting, strategy management, daily or monthly reports, token buyability, or indicator impact analysis — even if they don't say "signal" or "strategy".
Migrate an existing documentation site (Mintlify, Docusaurus, Fumadocs, Nextra, Starlight, or any docs framework) to Blume, the markdown-first docs framework on Astro. Translate the source config to blume.config.ts, restructure content into Blume's filesystem-derived navigation, rewrite JSX callouts to directives, convert icons to Lucide, and inline snippets. Use when the user asks to migrate/convert/port a docs repo to Blume, or when the repo has a docs.json/mint.json, docusaurus.config.*, meta.json with fumadocs, _meta.* with nextra, or an astro.config.* with starlight().
Use when platform-reported conversions disagree with GA4/ecommerce, when you suspect Meta and Google are double-counting the same sales, or for a standing (monthly) reconciliation workbook that de-dups stacked credit against an order-ID truth set, normalizes attribution windows and currency, compares attribution models, and reads incrementality from a geo/holdout test. Not for the point-in-time R2 veto or RQS gate — use ad-account-auditor; not for the ROI/ROAS ratio math itself — use roi-calculator; not for organic dark-social share attribution or GA4 direct-traffic decomposition — use dark-social-attributor. 付费广告归因对账/去重/增量
Use when the user asks to "build a story bank", "collect our origin and customer stories", or "assemble reusable proof stories for the message"; assembles reusable narrative units — origin, founder, customer, transformation, and proof stories — each tagged to a claims-ledger ID and a message-house pillar, with every proof labeled Measured / User-provided / [needs source]. Not for authoring the message house or pillars — use message-system-architect; not for brand voice or naming rules — use brand-language-codifier; not for finished long-form prose — use content-writer; not for adjudicating whether a proof is true — use offer-claims-registry. 品牌故事库/起源客户转化/证据故事单元
Use when the user asks to "design our change narrative", "build the old-world-to-new-game story arc", or "frame the shift our category is undergoing"; produces a Raskin-style strategic narrative arc — old world → the undeniable shift → winners vs losers under the new rules → the promised land → proof the promised land is real — derived from the positioning truth set and the belief/objection map, feeding the TALE Architecture arc sub-item. Every proof beat is labeled Measured / User-provided / [needs source] and this skill never adjudicates a claim. Not for the message house hierarchy — use message-system-architect; not for the pitch deck narrative — use pitch-narrative-builder; not for claim substantiation — use offer-claims-registry. 变革叙事弧/旧世界/应许之地/战略叙事结构
SAP-RPT-1-OSS local tabular prediction workflows for FI/CO prototype datasets. Use when preparing SAP finance CSV exports for classification or regression experiments with source-verified setup, leakage checks, and governance review.
Use when the user asks to "check our positioning against what we can actually ship", "trace which differentiators we can defend", or "reconcile the positioning canvas with the claims ledger"; reconciles the reused positioning canvas against the shippable stage and the claims ledger to produce a differentiation truth set — every differentiating claim verifiable or marked '[needs source]' — that TALE-T1 is judged against. Not for building the canvas — use positioning-mapper; not for adjudicating claims — use offer-claims-registry; not for authoring the message house — use message-system-architect. 定位真相/差异化校准/可交付现实/主张核对
Use when the user asks to "author our durable brand message hierarchy", "build the brand message house that seeds the canon", or "define the main narrative, three pillars, and tagline for the whole brand"; produces the DURABLE brand message system — main narrative, three value pillars, per-persona proof points (each labeled Measured / User-provided / '[needs source]'), and the tagline/one-liner — that seeds the narrative-registry canon and from which every per-launch house derives. Not for a single launch's message house or PR-FAQ — use message-house-builder; not for claim adjudication — use offer-claims-registry; not for the change-narrative arc itself — use strategic-narrative-designer. 品牌消息屋/主叙事/三支柱/标语/持久叙事 canon
Use when the user asks to "build a message house", "write a PR-FAQ for our launch", or "define the launch narrative and value pillars"; derives from the positioning canvas a message house — tagline, one-liner, three value pillars, per-persona proof points (each labeled Measured / User-provided / [needs source]) — plus a working-backwards PR-FAQ narrative spine (launch-day tense, empty-chair test, five external + five internal FAQs) and per-channel message angle packs (angles, not finished copy). Not for the positioning canvas itself — use positioning-mapper; not for finished blog posts or pages — use content-writer; not for ad or email units — use each discipline creative builder; not for claim adjudication — use offer-claims-registry. 消息屋/PR-FAQ/价值支柱/发布叙事
How to work in an OKF starter project (the `okf` starter pack): a knowledge base that is conformant with Google's Open Knowledge Format (OKF) from commit one — `concepts/`, `references/`, `notes/`, a reserved `index.md` navigation hub, and a reserved `log.md` change history. Read when the project has these folders plus reserved files, OR when asked whether a document is OKF-conformant, or to add a document to an OKF knowledge base. Carries the OKF conventions (non-empty `type` on every non-reserved doc; reserved files carry no frontmatter) as guidance, not enforcement. Complements the platform `open-knowledge` skill; does not replace it.
Read-only Itô basket and prediction-market data skill. Index the live basket catalog, compare a basket against user-supplied research or a watchlist, build a source-grounded market brief, or draft a non-executable planning worksheet. Use when a user asks to browse or index Itô baskets, compare a basket against notes or a thesis, research prediction-market events/venues/liquidity, or plan a basket or market idea without trading. Never advises, orders, trades, reserves, or executes.