Research & Search

agentik-os Skill

Organize qualitative research data into an affinity diagram with themes, clusters, and insight statements. Use when synthesizing large amounts of qualitative data from interviews, observations, or surveys.

agentik-os Skill

Create a structured user interview script with warm-up, core exploration, and wrap-up sections. Use when preparing for user research interviews to ensure consistent, insightful conversations.

eturkes Bundle

Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.

eturkes Bundle

Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process with (1) section outlines with key points using research-lookup then (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.

eturkes Bundle

Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.

eturkes Bundle

Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.

eturkes Bundle

Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.

naveedharri Bundle

Repurpose research, YouTube videos, blog articles, guides, or raw insights into high-performing LinkedIn posts that match Ben's exact tone of voice and writing style. STEP-BY-STEP and interactive: never output a complete post immediately, and at each step give suggestions, wait for the user's decision, then proceed. Pairs with /research upstream and /visual downstream. Use when the user shares a YouTube link, blog URL, transcript, insight, or idea and wants a LinkedIn post, or says "LinkedIn post", "LinkedIn content", "write a post", "repurpose for LinkedIn", or "turn this into a post".

naveedharri Bundle

Iterative newsletter writing workflow for Ben Van Sprundel's audience. Use when Ben wants to write a newsletter from research, an insight, an idea, or a YouTube video transcript. This is a CREATIVE, STEP-BY-STEP process. Never output a complete newsletter immediately. Each step requires suggestions, user decision, then progression to next step. Pairs with /research upstream and /image downstream. Triggers: newsletter, write newsletter, email content, repurpose video, insight to newsletter.

spike-faye-lei Bundle

arXiv

spike-faye-lei Skill

Add or remove raw sources, or update wiki content, per user request

spike-faye-lei Skill

Reset wiki state to a clean scaffold by scope (wiki / raw / log / checkpoints / all). Useful during development or carefree restarts after a botched setup.

spike-faye-lei Bundle

Seed wiki/foundations/ with domain background knowledge so subsequent /ingest does not create duplicate concept pages for textbook material

spike-faye-lei Skill

Run a lightweight, blame-free postmortem after an incident, failed launch, or missed deadline — for one person. Use when the user says "that didn't go well", "the launch flopped", "we had an outage", "I missed my deadline", or wants to learn from a recent failure.

spike-faye-lei Skill

Generate a user-facing CHANGELOG entry from raw git log output. Use when the user is preparing a release, says "what changed since last version", asks to write release notes, or wants to summarize a batch of commits for end users.

aaronjmars Skill

> **${var}** — Optional. Pass a different topic to override the default. If empty, digests [REPLACE: TOPIC].

zaxbysauce Bundle

Codex adapter for end-to-end CI monitoring of an already-reviewed PR in opencode-swarm. Use when the user wants the swarm to monitor a reviewed-and-approved PR's CI, research every failure exhaustively, fix end-to-end, iterate until green (max 5 cycles), then merge. Composes ci-fix-monitor for fix recipes.

zaxbysauce Skill

Claude Code adapter for end-to-end CI monitoring of an already-reviewed PR in opencode-swarm. Use when the user wants the swarm to monitor a reviewed-and-approved PR's CI, research every failure exhaustively, fix end-to-end, iterate until green (max 5 cycles), then merge. Composes ci-fix-monitor for fix recipes. This is the first skill in the repo that executes a merge — invoke it deliberately.

shengdabai Bundle

DTC 用户洞察与市场探索引擎——VOC 深度挖掘、市场规模评估、用户画像、赛道分析、竞争格局映射。Use when user mentions: 市场调研, market research, 用户洞察, user insight, VOC, 用户画像, persona, 市场规模, TAM SAM SOM, 赛道分析, 品类分析, category analysis, 需求挖掘, 空白市场, 用户研究.

sd0xdev Bundle

Context-aware Q&A with auto context gathering. Use when: user has a quick question about codebase, git history, rules, docs, or skills during development. Not for: code changes (use feature-dev), code review (use codex-review-fast), deep research (use deep-research), full code trace (use code-explore). Output: structured answer with source attribution.

sd0xdev Bundle

Portfolio system knowledge base. Use when: position queries, routing strategy questions, provider integration. Not for: general code exploration (use code-explore), code review (use codex-code-review). Output: domain-specific analysis + recommendations.

sd0xdev Skill

Research current code state then update corresponding docs, ensuring docs stay in sync with code.

bankrbot Bundle

Access real-time X/Twitter attention intelligence for Base chain tokens via the checkr API. Use when you need to know what is trending on CT, which tokens are spiking in social attention, get attention/price divergence signals, or fetch narrative summaries for specific Base tokens. Triggers: "what's trending on Base", "check attention for $TOKEN", "what's spiking right now", "social signal for X", any token research needing CT attention data. Payments via x402 — USDC on Base, no API key or account needed.

bankrbot Bundle

On-chain investigation — insiders, holders, whales, first buyers, wallet identity, side-wallet networks, and pump-and-dump detection. Use when you need to investigate a token, wallet, or on-chain entity: "who are the insiders of $TOKEN", "who funded this wallet", "detect pump and dump on a coin", "detect wash trading on a coin", "is this wallet a known malicious actor". Endpoints are discovered from a free manifest and paid per call via x402 on Base in USDC or SLEUTH only — dynamic pricing, typically ~$0.10, hard max $1 per call. No API key or account needed. Today investigations run on Base; more chains will be supported over time. Triggers: on-chain investigation, insiders, holders, whales, first buyers, side wallets, wallet funding, pump and dump, token research.

bankrbot Bundle

Cross-platform 30-day social research on a topic — Reddit, X/Twitter, Hacker News, Polymarket, open web. Clusters mentions by narrative, ranks by velocity (not raw volume), and surfaces the contrarian thread with traction (the cheapest signal). Source-tags every claim so a Reddit consensus and an HN consensus are weighted differently. Triggers: "research topic over 30 days", "what is everyone saying about X", "cross-platform research", "find the contrarian take on Y".

shengdabai Bundle

Coordinate multiple agents by splitting work into research, synthesis, implementation, and verification, assigning ownership, and keeping the coordinator focused on integration rather than raw exploration.

shengdabai Bundle

Orchestrate the full one-person company workflow across all OPC skills. Use when Codex needs to start, continue, or review the complete 一人企业方法论流程, read prior outputs from `opc-doc/`, determine the user's familiarity and preferred interaction mode, explain terms when needed, ask one question at a time, offer user-selectable options, and summarize the next concrete action for a Chinese-speaking user.

howard-lynn-ye Bundle

Fit and forecast volatility - GARCH, range-based realized variance, HAR-RV - without the two errors that silently move the answer: the units `arch` expects, and a range estimator used on bars that gap. TRIGGER - GARCH, GARCH(1,1), EGARCH, GJR-GARCH, arch_model, conditional_volatility, DataScaleWarning, "y is poorly scaled", rescale=True, res.scale, alpha + beta near 1, IGARCH, persistence; realized volatility, realized variance, Parkinson, Garman-Klass, Rogers-Satchell, Yang-Zhang, close-to-close, high-low volatility estimator; HAR-RV, Corsi; "my GARCH forecast says 1200% annualised vol", "which volatility estimator should I use", vol targeting input. SKIP for the arch package's API and its SPA/StepM/MCS bootstrap (lib-arch), for choosing a forecasting library (factor-and-timeseries-research), for discrete high-vol/low-vol state labels (regime-detection), for implied volatility (derivatives-pricing), and for turning a vol forecast into position size (portfolio-and-risk).

aaronjmars Skill

Cross-platform social research - narrative-first intelligence on what people are saying about a topic across Reddit, X, HN, Polymarket, and the web over the last 30 days

bankrbot Bundle

Plan Uniswap swaps and liquidity positions then execute via deep links — verify tokens on-chain, research market conditions, and generate pre-filled Uniswap interface URLs across 12 chains.

bankrbot Bundle

Daily roll-up across a configurable list of RSS / Atom / JSON feeds with cross-feed deduplication (by canonical URL hash), themed clustering, weighted per-feed ranking, and source-status reporting. Quote-don't-invent summaries extracted from post bodies. Use for personal newsletter curation, multi-blog daily reads, or aggregating crypto research desk outputs into one digest. Triggers: "RSS digest", "summarize my feeds", "daily blog digest", "what's new in my feeds".

bankrbot Bundle

Evolve any installed skill by generating four variations along separate theses (better inputs / sharper output / more robust / rethink), scoring them on a weighted rubric, and applying the winner. Never downgrades a working skill — aborts cleanly if no variation improves the original. Use when an installed skill is producing low-signal output, hitting deprecated APIs, or feels stale. Triggers: "improve this skill", "evolve $skill", "auto-research my X", "regenerate variations".

bankrbot Bundle

Exhaustive multi-source research on a topic with attributed claims, a mandatory adversarial counterpoint, and an open-questions list. Analyst-grade — claims are tagged with source class (primary / expert / secondary / market signal) and confidence, contradicting sources are named rather than averaged. Use when the cost of being wrong exceeds an hour of research. Triggers: "deep research X", "DD on Y", "build me a memo on Z", "contrarian take on X".

asymmetric-al Bundle

Fetch and summarize review comments from the active pull request

howard-lynn-ye Bundle

Build a trend-following or time-series-momentum strategy the way the paper defines it, and measure the two look-aheads that flatter its backtest. TRIGGER - time series momentum, TSMOM, Moskowitz Ooi Pedersen, 12-month momentum, trend following, managed futures, CTA replication; Donchian channel, turtle rules, breakout system, 20-day high, moving average crossover, golden cross, 50/200 MA; volatility targeting, vol scaling, ex-ante volatility, 40% vol target, risk parity across futures, inverse-vol sizing, ATR sizing; "my trend backtest has a Sharpe of 3", "should I skip the most recent month", "do I trade the close or the next open". SKIP for computing the indicator itself and whether it repaints (signal-construction), for cross-sectional ranking of many names (factor-and-timeseries-research), for combining several alphas into one (alpha-combination-and-neutralization), for how much to bet given an edge (position-sizing-kelly), and for the engine that runs the loop (backtesting-engines).

howard-lynn-ye Bundle

Score several alphas, combine them, and strip the exposures you did not mean to take. TRIGGER - information coefficient, IC, rank IC, ICIR, IC decay, "is my IC good", IC t-stat, Newey-West on IC, overlapping forward returns; combining alphas, blending signals, alpha weighting, z-score or rank combination, multi-factor signal; sector neutral, beta neutral, market neutral signal, industry neutralization, residualize the alpha, cross-sectional regression residuals, orthogonalize signals; winsorize, clip outliers, cross-sectional standardization; turnover-aware combination, signal smoothing, "my alpha dies after costs". SKIP for one time-series trend signal (trend-following-models), for the factor library and the alphalens forward-return convention (factor-and-timeseries-research, lib-alphalens), for weights under constraints (portfolio-and-risk), and for whether the survivor is real (backtest-validation).