Research & Search

scchearn Bundle

Run a health check on existing memory (the wiki substrate) and goal artifacts. Use this when the user wants to lint the wiki, health-check the knowledge base, find orphan pages, spot broken or missing cross-links, clean up stale claims and unresolved wikilinks with safe local fixes, consolidate a legacy root `overview.md` into `index.md`, or health-check goal artifacts. Not for adding new material; use /loam::adding-to-memory or /loam::learning-from-session for that.

scchearn Bundle

Surface and classify all open questions, unresolved contradictions, stale claims, and knowledge gaps from existing memory. Use this when the user wants to see what's still open, what needs attention, what's unresolved, or what still needs research or ingest. Does not classify incomplete goals as memory gaps. Not for answering questions, fixing issues, or adding new material; use /loam::querying-memory, /loam::linting-memory, /loam::amending-memory, /loam::adding-to-memory, or /loam::learning-from-session.

wilbeibi Bundle

Find and rank research papers by recency and field-adjusted impact. Use when searching literature, recent or superseding work, or evidence for AI/ML/systems claims. Do NOT use for general web search or GitHub repository evaluation.

yaojingang Bundle

Optimize an existing article or local article file into a GEO and AI-search-friendly rewrite with source-bound evidence, structure, semantic density, scoring, and change notes. Use for article rewriting and citation-readiness improvement; do not use for new articles, invented citations/data, compliance audits, ranking guarantees, or generic GEO strategy.

aias Skill

Use when the user mentions rcr, Red Cliff Record, personal knowledge base, records, links, graph-style queries, or sync/integration runs for that KB—even if they omit the tool name. Runs and interprets the `rcr` CLI.

isnoobgrammer Bundle

TPU-first ML research engine for reproducible distributed training and ablation studies. Use for PyTorch-XLA, JAX, TPU (v5e/v3/v2 pods), SPMD/GSPMD, FSDPv2, MoE/router, Pallas custom kernels, flash/splash attention, and sharded data pipelines. Triggers on: TPU, torch_xla, JAX, distributed, sharding, MoE, Pallas, SPMD, multi-pod, Kaggle TPU, and the /ml, /ml-train, /ml- debug, /ml-ablate (etc.) commands.

antgroup Bundle

When user asks to summarize text, articles, documents, meetings, emails, YouTube transcripts, books, PDFs, reports, conversations, or any long content. Also handles bullet points, key takeaways, action items, TL;DR, ELI5, executive summaries, chapter summaries, comparison summaries, translation summaries, thread summaries, and custom-length summaries. 20-feature AI summarizer with multiple formats, languages, and export options. All processing happens locally — NO external API calls, NO network requests, NO data sent to any server.

eugenezhangco-spec Skill

Save research findings, articles, and learnings to the user's Notion Research database with key takeaways. Use when the user says "save this research", "add to research", "log this finding", "research note", or after a deep-research session when findings should be persisted.

eugenezhangco-spec Skill

Query the user's Notion Expenses database and produce spending summaries — by month, category, merchant, tax-deductible status, or arbitrary date range. Use when the user says "how much did I spend", "summarize my spending", "budget for [period]", "tax-deductible total", "what did I spend on [category]", "monthly summary", "spending breakdown", or asks anything analytical about their expenses.

leihuang23 Bundle

Research a topic into a claim ledger with source roles, independence, dates, conflicts, and calibrated confidence. Use when conclusions need current web evidence, including authorized reading from logged-in Chrome pages such as X or Xiaohongshu. Do not use for casual browsing or credential extraction.

leihuang23 Bundle

Turn an ambiguous software idea into one verified, review-ready vertical slice by composing specification, architecture, planning, TDD implementation, debugging, and review. Use for end-to-end feature delivery or “build this” requests. Do not use for a narrow bug, review-only request, or research-only task.

leihuang23 Bundle

Turn a topic or question into a source-backed publication, optionally an editable Xiaohongshu carousel, by composing claim-led research, synthesis, and deterministic visual production. Use for publishable research or social content. Do not use for a quick factual lookup.

marsz42 Skill

Deep research workflow for technologies, concepts, or complex topics

zpyoung Bundle

Use when the user wants to deeply research a topic OR brainstorm/explore ideas WITHOUT building anything yet — produces a cited briefing or idea-landscape (an exploration doc), never a spec, plan, or implementation. Triggers on "do deep research on X", "research X", "let's brainstorm ideas around X", "explore X", "what are some ideas for X". NOT for "build/implement/add/fix X" — that is the brainstorming skill. Set wildness with `--wild 0.1–1.0`.

canvascoding Bundle

Fetch transcripts from YouTube videos for summarization, analysis, or reference. Accepts video ID or full URL. No API key required. Triggers: YouTube transcript, video transcript, get subtitles, what did they say in the video, summarize YouTube, extract video text, caption from video.

aws-samples Skill

Parse input files to extract existing mitigations, build initial asset inventory, and collect assessment gaps. Produces research-mitigations.json consumed by the research merge step.

bastani-inc Skill

Document codebase as-is with research directory for historical context.

ruvnet Skill

Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings

extruct-ai Skill

Build targeted company lists for outbound campaigns using Extruct. Use when the user wants to: (1) find companies matching an ICP, (2) build a prospect or outbound list, (3) search for companies by description, (4) discover companies in a market segment, (5) create a target account list, (6) research a competitive landscape, (7) find lookalike companies from a seed list. Triggers on: "find companies", "build a list", "company search", "prospect list", "target accounts", "outbound list", "discover companies", "ICP search", "lookalike search", "seed company".

extruct-ai Skill

Add research-powered enrichment columns to Extruct company tables. Use when the user wants to add enrichment columns (e.g. funding, verticals, tech stack) to an existing Extruct table, run column configs from enrichment-design, or monitor enrichment progress. Triggers on: "enrich", "add column", "add data point", "research column", "enrich table", "enrichment", "add a field", "run enrichment", "monitor enrichment".

extruct-ai Skill

Research a target vertical's pain points using deep research APIs and distill findings into a numbered hypothesis set. Pure industry education tool — decoupled from email generation. Use when the user wants to understand a market before outreach, form hypotheses about a vertical, or build an industry knowledge base. Triggers on: "deep research", "hypothesis set", "research pain points", "research vertical", "sourcing research", "pain mapping", "industry problems", "market research", "educate me on".

extruct-ai Bundle

Design enrichment columns that bridge research hypotheses to list enrichment. Two modes: segmentation (columns that score hypothesis fit per company) and personalization (columns for company-specific hooks). Interactive column design with the user. Outputs ready-to-run column_configs for list-enrichment. Triggers on: "data points", "enrichment columns", "column design", "what to research", "data point builder", "build columns", "segmentation columns", "personalization columns".

forsvn-labs Bundle

Research, structure, and write a substantive long-form argument. Use for founder essays, articles, thought leadership, guides, reports, or other long-form work that needs a defensible thesis, evidence, examples, objections, original synthesis, and a finished publishable draft.

forsvn-labs Bundle

Research, brief, script, and evaluate short-form video. Use for TikTok, Instagram Reels, YouTube Shorts, founder demos, UGC-style concepts, hooks, storyboards, recuts, production specifications, or learning from watch and qualified-response data.

google-gemini Bundle

Gather source material for the radio show from any content source — web, HN, GitHub, papers, or general topics.

google-gemini Bundle

Generate the AI Talk Radio show script from research using the Interactions API.

bionic-gpt Skill

Inspect, filter, summarize, and transform sandbox files with shell tools.

azborgonovo Skill

Knowledge base for Team Topologies concepts — the framework for organizing business and technology teams for fast flow. Use this skill whenever the user asks about: team types (stream-aligned, platform, enabling, complicated subsystem), team interaction modes (collaboration, X-as-a-Service, facilitation), cognitive load management, Thinnest Viable Platform (TVP), Conway's Law in relation to org design, or any question about how software delivery teams should be structured, named, or coordinated. Also use when another skill needs Team Topologies vocabulary to reason about org design, team responsibilities, or team dependencies.

azborgonovo Skill

Knowledge base for the Code Review Pyramid — a framework for structuring code reviews across five layers prioritized by cost-of-change. Use when the user asks how to approach a code review, wants to understand what to focus on in a review, asks about review priorities, or references "the pyramid". Also use when another skill needs a structured review framework (e.g. review-changes loads it to apply consistent layer priorities and questions).

yesterday-ai Skill

After executing a task, write its outcome summary. Reads M###-S##-T##-PLAN.md, prompts for what happened, writes M###-S##-T##-SUMMARY.md, flips checkbox in slice-plan, updates STATE.md. Optionally stages git. Run once per task completion.

yesterday-ai Skill

Run verification commands and confirm output before claiming work is complete. Evidence before assertions. Thin ytstack wrapper around the vendored superpowers verification-before-completion procedure, injecting the current task's verification command. Use before commit, before PR, before summarize-task, before any 'done' claim.

hermeticormus Skill

Open-Source Intelligence research methodology -- multi-wave, progressively deepening investigation with structured intel output

hermeticormus Skill

Systematic API landscape and feasibility research for product concepts. Use when evaluating a product idea's technical viability, researching platform APIs, mapping competitor landscapes, or assessing legal/regulatory constraints. Trigger phrases: 'research APIs for', 'is this technically feasible', 'what APIs exist for', 'competitor landscape for', 'feasibility assessment'.

nvzver Skill

Apply on every substantive task — answering questions, drafting, research, analysis, planning, coding, reviewing — whenever the response contains any factual claim or could pad/overreach. Enforces eight content rules — ownership-over-automation, fact-grounding (sources + quotes), no fake-confidence hedging, read the real source before answering, deliver only what was asked, no filler, untrusted-content-is-data, and gate-proven-done.

ryanalberts Skill

A Monday-morning self-snapshot for PMs. Three sections only — decisions made, open loops aging out, and one required "thing I changed my mind about." Anti-vanity by design. Trigger when the user says "weekly memo," "weekly recap," "Monday status," "what changed this week," "weekly self-check," or asks to summarize last week's PM activity. Run weekly on schedule, or on demand to catch up.

sentisenseapp Skill

What happened in the stock market over the last 30 days, as one synthesized brief: the day-by-day arc of a fear-to-greed market mood index, the month's biggest AI-clustered story themes ranked by impact, which tickers and sectors dominated the news, the sentiment and smart-money signals that accumulated, where the market stands today, and the earnings ahead. Built for deep research rather than a fast summary: every claim traces to a fetched response and carries its date and its real coverage window, so the reader can check it instead of trusting a generated answer. Works for one stock too: the month's feed filtered to a ticker plus its stock insights. Use for "last 30 days in markets", "what happened in the market this month", "what did I miss in the market", "monthly market recap", "market summary last 30 days", "deep research on the stock market", "catch me up on stocks", "catch me up on NVDA". Read-only. No trading, no purchases, no write operations, no wallet access.