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amazon-rufus-audit
by iceking8
Amazon Rufus competitor Q&A audit for sellers. Use when Codex needs to read Amazon Listing content, build a product profile, generate product-aware Rufus question plans, collect, clean, validate, or analyze Rufus questions and answers from competitor or own product pages; diagnose capture problems; classify buyer concerns; compare those questions against the user's Listing content; find weak or missing answers; and produce prioritized image, A+, FAQ, bullet, and title optimization recommendations. Trigger on requests mentioning Rufus 问答采集, Rufus 拆解, 竞品 Rufus 分析, Listing gap analysis, AI-ready Listing, Amazon Rufus audit, Rufus capture troubleshooting, or comparing competitor Rufus answers with the user's product link.
systematic-debugging
by TMulv
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
code-review-for-quant
by jefrnc
Use when reviewing or writing Python/Go/SQL code for quant research, backtests, market-data pipelines, or trading systems. Provides a structured checklist of failure modes specific to time-series financial code (lookahead, splits, snapshots, currency, NaN propagation, joint-filer dedup) that generic code review skips.
aigcpanel-skills
by modstart-lib
通过 AigcPanel Pro 内置 HTTP 接口调用本地 AI 模型。当需要列出可用模型、调用模型生成内容、或查询任务结果时使用本技能。适用场景：自动化脚本调用 AI 模型、外部程序集成 AigcPanel Pro、批量处理任务。
dilution-event-scoring
by jefrnc
Use when assessing, ranking, comparing, or rating dilution risk for one or more small-cap stocks. Produces a transparent 0-100 score integrating ATM activity, placement-agent tier, filing recency, cash runway, warrant attachment, and repeat-dilution history, with auditable component breakdown and action thresholds (SEVERE / HIGH / MODERATE / LOW / MINIMAL).
lookahead-safety
by jefrnc
Use when working with historical financial data, backtests, point-in-time analysis, SEC filings, XBRL data, or any time-series quant research. Prevents look-ahead bias and survivorship bias by enforcing filing_date / accepted as the known-date, never period_end. Triggers on phrases like "as of", "historical", "backtest", "lookahead", "point-in-time".
insider-dedup
by jefrnc
Use when aggregating beneficial-ownership filings (Schedule 13D, 13G, amendments) or insider transaction filings (Form 3, 4, 5, 144) to compute total insider holdings or insider activity. Defines the joint-filer, group, and shared-voting-power deduplication rules so that a single position is not double-counted across N filers.
Skill: twitter-agent
by BankrBot
Compact storyline proactively at ~200 KB / 50 entries.
xbrl-fallbacks
by jefrnc
Use when SEC XBRL company-facts data returns 404, is empty, or has sparse coverage — typical for recent FPIs (foreign private issuers), recent IPOs, SPACs, or shell companies. Defines the document hierarchy and extraction rules to recover shares-outstanding data from filing text when structured XBRL is unavailable.
bank-tier-classification
by jefrnc
Use when an SEC filing names a placement agent, underwriter, or sales agent (e.g., Goldman Sachs, H.C. Wainwright, Maxim, Aegis, Roth, B. Riley, Cantor, Jefferies). Classifies the firm into a 4-tier framework that materially changes the dilution risk profile of the offering.
atm-detection
by jefrnc
Use when determining whether a company has an active At-The-Market (ATM) offering, controlled equity offering, or equity line (ELOC). Defines the multi-signal inference required to distinguish ACTIVE dilution from dormant shelf capacity, and disambiguates ATM from ELOC.
sec-filing-types
by jefrnc
Use when interpreting SEC filings, EDGAR data, or specific form types (S-3, 424B, 8-K, 10-K, 13D/G, Form 4, 20-F, 6-K, F-1, NT 10-K, etc.). Disambiguates what each form actually means for a company's float, dilution risk, and material events.
browser-trace
by browserbase
Capture a full DevTools-protocol trace of any browser automation — CDP firehose, screenshots, and DOM dumps — then bisect the stream into per-page searchable buckets. Use when the user wants to debug a failed run, audit network/console/DOM activity, attach a trace to an in-progress session, or feed structured per-page summaries back into an agent loop so its next iteration learns from the last one.
actions-sdk-integration
by ethereum-optimism
Integrate the Optimism Actions SDK into a TypeScript application. Handles wallet provider setup (Privy, Turnkey, Dynamic), DeFi provider configuration (Morpho, Aave lending), chain and asset selection, and smart wallet creation. Use when the developer wants to add DeFi capabilities like lending, borrowing, swaps, or payments to their app.
graphmind — Persistent Code Intelligence
by aouicher
graphmind gives Claude Code persistent memory and structural code intelligence across all registered projects. Auto-triggers in any registered project directory. Always query the graph before reading source files.
Investigor Frontend Skill Playbook
by Heuric-Systems
docs/CROSS_REPO_ALIGNMENT_2026_04_27.md
data-harness
by PaulLockett
Predicate-first data harness over DuckDB + Polars. Use when the user wants to validate, transform, or extract data from any domain — light-curves, federal filings, geospatial AIS, multimodal scrolls. Capability-aware: the same skill code runs on a tiny laptop and a multi-GPU server.
product-manager-skill
by Wotaso
OpenClaw-first AI product manager for turning analytics, revenue, crash, store, and feedback signals into execution-ready proposals and backlog work.
gc-provider
by Growth-Circle
GrowthCircle.id OpenClaw model-provider plugin for the OpenAI-compatible https://ai.growthcircle.id/v1 endpoint.
rubric-forecasting
by NeoSoul-AI
"Use for structured forecasting tasks that require deterministic rubric scoring, calibrated option ranking, explicit evidence tracking, and script-based numeric computation."
xiameng-prompt-engineer
by chengbenchao
夏导提示词生成引擎 v3.0:基于《夏导提示词库》标准,将自然语言需求自动转化为 10 维度 × 9 段增强版专业级 AI 绘画提示词。适用于电影分镜、角色设定、场景概念图、 特殊视图(三视图)、多图拼版。当用户要求生成绘图提示词、AI 绘画 prompt、角色设定描述时使用。 触发词:夏导引擎、夏导提示词、xiameng prompt、生成提示词、AI绘画提示词、三视图提示词、夏导快速模式。 支持 S1-S11 十一大场景、三种工作模式(极速/快速/标准)、色温/焦段/光位铁律、细节与质感增强。 v3.0 新增:自然语言快速模式、S11 多图拼版场景、GPT-Image-2 混合标杆库。
cloudflare
by cloudflare
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), feature flags (Flagship), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
event-prospecting
by browserbase
Event prospecting skill. Takes a conference / event speakers URL, extracts the people, filters their companies against the user's ICP, then deep-researches only the speakers at ICP-fit companies. Outputs a person-first HTML report where each card answers "why should the AE talk to this person?" with all public links and a one-click DM opener. Use when the user wants to: (1) find leads at a specific conference, (2) prep for an event, (3) research event speakers, (4) build a target list from a sponsor/exhibitor page, (5) scrape conference speakers and rank by ICP fit. Triggers: "find leads at {event}", "research speakers at", "prospect this conference", "stripe sessions leads", "ai engineer summit prospects", "event prospecting", "scrape conference speakers", "who should I meet at".
apify-ultimate-scraper
by apify
Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp, and 15+ more platforms. Use for lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, audience analysis, review analysis, SEO intelligence, recruitment, or any data extraction task.