Plan and diagnose compliant organic growth across SEO, GEO/AI search, Reddit research and community participation, Product Hunt launches, SaaS cold starts, founder-led content,…
Measure-don't-guess performance audit across web, mobile, backend, and data layers — produces burndown and optimization plan with no fixes in this pass.
Research enterprise context before plan mode — surface design docs, similar implementations, stakeholders, and related systems before architecting or designing a feature.
Generate a user-requested number of concise clarification questions before planning or implementation, optionally with a short AI-proposed answer or hypothesis under each…
Research the codebase and web for requirements without producing a plan document. Use when the user asks to research, investigate, scope, or gather context on a topic.
Deep web research, competitor scanning, technology evaluation, and implementation planning. Decomposes work into vertical slices, identifies parallel workstreams, tracks — from…
Decides what to make next — turns the brand, the product, your own running ads and competitor research into the concepts worth testing next.
Uses persistent markdown files to keep complex multi-step work organized across long sessions. Use when work requires research, many tool calls, multiple phases, or context…
Master planner + deep researcher. Use when you need to turn a request into a research-backed, implementation-ready plan (PRP) using Tavily (web), Context7 (official docs), and…
Structured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.
Comprehensive skill for project planning and prompt engineering. Covers hierarchical plans (briefs, roadmaps, phases), Claude-to-Claude meta-prompts, and multi-stage workflows.
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
Manus-style context engineering for Agent Teams. Coordinate multiple Claude Code instances with shared planning files.
Query and analyze website analytics from Plausible Analytics. Use when you need to check real-time visitors, get page views and visitor statistics for a time period, analyze…
Use when implementing player movement — CharacterBody2D/3D patterns, input handling, physics, common movement recipes
Use when debugging a visual bug, layout issue, CSS problem, rendering issue, broken UI, page-looks-wrong report, or any browser-visible defect.
Piloter Chromium sur MP Manager (SWA lemon-plant-…azurestaticapps.net) — règles maison de captation (lecture seule en prod, storageState jamais committé, anonymisation au cas par…
Use when designing or auditing a PLDI evaluation — choosing defensible benchmark suites and baseline compiler configurations, measuring runtime, compile time, and memory with…
Prepare manuscripts for PLOS journals (PLOS ONE, PLOS Biology, PLOS Computational Biology, PLOS Genetics, PLOS Medicine, PLOS Pathogens, PLOS Neglected Tropical Diseases, PLOS…
Use when targeting PLOS Biology (PLOS Biol) or deciding whether a general biology manuscript fits this open-access venue.
Visual (VLM) and array-completeness check for plots and figure files. Use proactively after savefig or export; before citing a figure in a paper or report.
Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations.
Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations.
Interactive scientific visualization with Plotly. Two APIs: plotly.express (px) for one-liner DataFrame plots, plotly.graph_objects (go) for trace-level control.
Interactive visualization with Plotly. 40+ chart types (scatter, line, heatmap, 3D, geographic) with hover, zoom, pan.
Publication-grade plotting helpers (R + Python) with opinionated lab defaults. Ships `pavlab_heatmap` (wraps pheatmap / seaborn.heatmap; diverging amber-orange→black→sky-blue…
Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimental_log.md and…
Selects and fills a researched product-document template from a 26-bundle library covering the full product lifecycle, then grades the result against that document type's own…
Grades and reviews a product document that already exists against the researched rubric for its own document type, returning an itemized report card that quotes the document's own…
|- 功能涵盖: plug, intelligent,。Use when 用户需要plug-intelligent-data-research相关功能时使用。不适用于超出本技能能力范围的复杂需求。适用于独立开发者、企业团队和自动化工作流场景。支持中文交互，无需复杂配置即开即用。提供结构化输出和错误处理机制。…
Guide plugin development workflow — editing skills, agents, hooks, or eval framework in this repo. Use when modifying files in plugins/elixir-phoenix/, lab/eval/, or…
Saint-Pierre-et-Miquelon company income tax reference researched in October 2026 from the local tax code.
Given a feature scope description, recommend the appropriate design-process intensity. Routes large features (M/L/XL) through the full Research → PRD → Design Concept → Detailed…
Codebase research specialist for PM task assignment. Use proactively before assigning tasks to understand existing patterns, dependencies, and implementation approaches.
Generate quantitative statistics about the PM knowledge system — decision counts by type, health trajectory, sprint velocity, issue resolution rates, enforcement compliance.
Pressure-test a value hypothesis (the what / who / how / why-now) before resources are committed, design the smallest experiment that would falsify it, and pre-commit kill…
The customer-research umbrella: develop ICPs, personas, JTBD, voice-of-customer themes, win-loss insights, interview guides, and research synthesis from raw evidence.
The research front door. Turn a messy product brain-dump or ramble ("I have a product called X, it does A/B/C, I want to launch it and take it to market") into a structured…
Run a domain research desk — Events, Competitive, Customer/pain, Market, Pricing — scoped to your product, segment, and market.
Use to enforce PNAS's statistics and reproducibility reporting — n and replication, test choice and assumptions, effect sizes with uncertainty, multiple-comparison control,…
Use as the final preflight before submitting to PNAS — a complete checklist across significance, track, Significance Statement, abstract, classification + keywords, figures,…
Use before any writing — as the first gate — to stress-test whether a result fits PNAS Nexus — high-quality, broadly significant, multidisciplinary research across…
Use to write the PNAS Nexus Significance Statement — between 50 and 120 words, in plain language for a broad scientific audience, explaining why the work matters.
Use to enforce PNAS Nexus's statistics and reproducibility reporting — n and replication, test choice and assumptions, effect sizes with uncertainty, multiple-comparison control,…
Use when building the evidence for an ACM PODC paper — where "evidence" is a proof, not a benchmark. Covers matching upper and lower bounds, tightness arguments, model and…
Use when auditing an ACM PODC submission for HotCRP readiness, covering the two-step abstract-registration then full-paper deadline, the ACM Master template with the…
Use when planning an ACM PODC campaign end to end — running the single annual cycle backward from the February deadline through abstract registration, lightweight double-blind…
Use when designing or auditing the analytical "evidence" of an ACM PODS paper — worst-case and average-case analyses, matching upper and lower bounds, dichotomy completeness,…
Use when auditing an ACM PODS research submission for EasyChair readiness, covering the chosen cycle's abstract-then-paper deadlines, the acmsmall[review,anonymous] format and…
Use when augmenting mass spectrometry ion images for contrastive learning, specifically when you need to simulate the natural Poisson noise that arises from photon-counting…
Use when after extending ChIP sample reads to their predicted fragment length and constructing local lambda bias tracks (incorporating d-scaled, 1 kb, 10 kb, and genome-wide…
Conduct deep research using Pokee AI's Deep Research API. Generates comprehensive, structured research reports with outlines and detailed writeups.
Use when adding Pokemon game support, auditing Pokemon data provenance, generating local datasets from official or reproducible sources, or extending LLM tool-calling for Pokemon…
Define a Proof of Life probe to test a risky hypothesis cheaply. Use when you need harsh truth before building real product.
Select the right Proof of Life (PoL) probe based on hypothesis, risk, and resources. Use this to match the validation method to the real learning goal, not tooling comfort.
High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Overlap, nearest, merge, coverage, complement, subtract for BED/VCF/BAM/GFF…
Use polars-statistics ANOVA — run one-way ANOVA (Fisher or Welch), two-way ANOVA, repeated-measures ANOVA, or intraclass correlation coefficient (ICC); follow up with post-hoc…
Get started with polars-statistics — install the package, understand the two API styles (expressions vs.
Use polars-statistics hypothesis tests — run t-tests, Mann-Whitney, Kruskal-Wallis, normality tests, correlation tests, chi-square, Fisher's exact, TOST equivalence tests, MMD,…
Use polars-statistics regression — fit OLS, Ridge, Lasso, Elastic Net, WLS, RLS, BLS, NNLS, Quantile, Huber, PLS, ALM, or any GLM (logistic, Poisson, Negative Binomial, Tweedie,…