Research & Search

dnyoussef Bundle

Literature Synthesis

dnyoussef Bundle

Research Publication

dnyoussef Bundle

Research Gap Visualizer

dnyoussef Bundle

Research Driven Planning

dnyoussef Bundle

Academic Reading Workflow

dnyoussef Bundle

General Research Workflow

dnyoussef Bundle

Deep Research Orchestrator

dnyoussef Bundle

Source Credibility Analyzer

fluxonlab Skill

Use when you need to generate architecture decision records with context, decision, consequences, and alternatives.

fluxonlab Skill

Use when you need to review pricing tiers, packaging, feature gates, trials, and conversion paths.

fluxonlab Skill

Use when you need to review requirements, user stories, acceptance criteria, scope, and ambiguity.

zgbrenner Skill

Use when organizing and reviewing a protected-leave situation to identify the leave frameworks that may apply, surface procedural obligations and deadlines requiring verified research, and flag adverse-action exposure — producing draft legal work product for attorney review.

zgbrenner Skill

Use when synthesizing a rule statement from multiple judicial opinions (and, where relevant, statutory or secondary sources) for a single Question Presented, producing a structured synthesis with explicit majority-and-minority handling, a temporal-confidence pass for older authority, and a Holding / Relevance / Weight block per authority — capped at the smallest set that supports the rule.

zgbrenner Bundle

Use when producing a structured legal research memo in response to a specific legal question, organizing analysis using IRAC discipline (Question Presented, Brief Answer, Facts, Assumptions, Discussion/Analysis, Conclusion) with explicit sourcing requirements and attorney verification checkpoints.

zgbrenner Skill

Use when checking whether a legal memo, contract review, demand letter, risk matrix, research summary, draft filing, or other legal AI output is reliable enough to rely on — adversarially stress-testing it before attorney review to surface invented authority, unsupported claims, weak reasoning, jurisdiction and deadline gaps, and professional-responsibility issues.

zgbrenner Skill

Use when classifying whether cited sources, authorities, quotations, dates, and factual claims in draft legal work product are supported by materials available in the session, applying the source hierarchy in `core/source-and-citation-discipline.md`.

zgbrenner Skill

Use when tracing the amendment history of a specific CFR section — what the text said on a given date, which Federal Register rulemakings amended it, and what version was in effect at a specific point in time — producing a date-stable history table for attorney review, verified through `connectors/ecfr.md` and `connectors/federal-register.md`.

zgbrenner Skill

Use when reviewing legal citations, authorities, quotations, and authority-backed propositions to classify citation source status, flag unverifiable or malformed authorities, and prepare attorney verification items without claiming automated legal citation verification.

zgbrenner Skill

Use when checking whether draft legal work product matches the requested format, required sections, labels, tables, chronology, checklist, matrix, memo, email, demand letter, client update, or research-summary structure.

wgpsec Bundle

GitHub 安全研究方法论：搜索 GitHub 上的免杀/Loader/C2 技术仓库，分析代码模式，提取新技术入库。当知识库中没有针对当前检测环境的免杀技术时使用——先搜索 GitHub 高星仓库，分析代码后写入 evasion-techniques-db.json 或 loader-components-db.json 入库

pavel-kravchenko Skill

Generate normalized bigWig coverage tracks from BAM with deepTools bamCoverage/bamCompare (RPKM/CPM/RPGC), summarize with multiBamSummary, and plot TSS/region signal with computeMatrix + plotHeatmap/plotProfile; pyBigWig for programmatic access. Use when normalizing BAM to bigWig, computing ChIP/input log2 ratio tracks, making TSS metagene heatmaps, or querying bigWig values in Python.

zgbrenner Bundle

Use when producing a structured brief of a single judicial opinion for attorney review, extracting the facts, procedural posture, issue, holding, reasoning, rule, and weight in a fixed template — with every slot tied to a specific passage in the provided opinion and the case verified against `connectors/courtlistener.md` where applicable.

leadmagic Bundle

SaaS pricing psychology and tactics for B2B founders. Use when designing pricing tiers, testing price points, building pricing pages, handling discounting strategy, adding new pricing dimensions, or optimizing monetization. Covers anchoring, decoy effect, charm pricing, framing, versioning, and willingness-to-pay research methodology.

marktantongco Skill

Research open-source repositories to understand how something is built or works.

marktantongco Skill

Creates iterative improvement cycles that feed deployment metrics and product feedback back into research for the next iteration. Use to close the loop from Zero-to-Revenue workflow and enable continuous product improvement.

marktantongco Skill

JTBD Research - Jobs to be Done Product Research Methodology

marktantongco Skill

Research existing architecture before implementing a complex feature.

ferroxlabs Skill

Build a compensation band for a role end to end: gather the role brief, research market data, recommend a min/mid/max range with rationale, then add a comp philosophy and base/equity/bonus structure recommendation. Use when the user wants a structured, multi-step process to produce a defensible comp band and memo for a specific role. Do NOT use for a single quick salary lookup or a one-line range that one atomic skill can answer.

ferroxlabs Skill

Apply Conversational Proof to any claim: claim → evidence → reason → move-on pattern, with a library of 5 proof types (Anecdote, Receipt, Drive-By, Namecheck, Because). Outputs proof-blocks woven through copy, never an isolated proof section. Use when a draft makes claims that need to be believed and you want proof that reads like conversation, not a credentials wall. Not for designing testimonial graphics (use convert-proof-stack) and not for sourcing testimonials (that's a research task, not a copy task).

pixartseu Bundle

Headless CMS integration knowledge base - Sanity, Strapi, Contentful, GROQ queries, Portable Text, draft mode. Use when integrating a headless CMS, setting up content collections, or implementing preview/revalidation.

pixartseu Bundle

Authentication and authorization knowledge base - Auth.js v5, OAuth, credentials, JWT, RBAC. Use when implementing authentication, login, registration, session management, or role-based access control.

pixartseu Bundle

Database and ORM knowledge base - Prisma, Drizzle, migrations, seeding, connection pooling. Use when setting up a database, configuring an ORM, writing migrations, or managing data connections.

pixartseu Bundle

Payments integration knowledge base - Stripe, LemonSqueezy, subscriptions, webhooks, checkout. Use when implementing payment processing, setting up subscriptions, handling webhooks, or integrating Stripe/LemonSqueezy.

pixartseu Bundle

GLSL shader knowledge base — vertex/fragment programs, uniforms, varyings, attributes, noise functions, ShaderMaterial in Three.js, shaderMaterial helper in R3F/drei, raymarching primer, full-screen post-effects. Use when writing custom shaders, debugging shader compile errors, animating vertices/fragments, creating procedural materials, or porting Shadertoy code to Three.js.

pixartseu Bundle

Mobile-first design knowledge base - thumb zone, touch targets, responsive patterns, Core Web Vitals. Use when optimizing for mobile, improving touch UX, implementing responsive layouts, or auditing mobile performance.

pixartseu Skill

AI video generation knowledge base — Kling e Google Veo. Usare quando si devono generare video con AI da immagini o testo (Kling image-to-video, Kling text-to-video, Veo). Trigger: "genera video", "crea clip AI", "kling", "veo", "image to video", "video AI".