Research & Search

tuyv Bundle

Use when an evaluation coordinator needs normalized findings from target artifacts and research evidence.

ndpvt-web Skill

Use code comments as a bug-fixing amplifier: generate implementation-detail comments on buggy code before attempting repairs, improving fix accuracy by up to 3x. Based on empirical research showing that LLMs fix bugs far more accurately when methods contain comments describing implementation intent and logic. Trigger phrases: - "fix this bug" or "debug this code" (when code lacks comments) - "why isn't this working" (on uncommented methods) - "add comments then fix" or "comment-assisted fix" - "help me understand and fix this method" - "the fix isn't obvious, can you analyze this?" - "repair this function"

pku-yuangroup Bundle

Find, verify, and synthesize scientific literature — from "what's the seminal paper for X" through full multi-source reviews. Covers grounding claims in real retrieved sources, avoiding fabricated citations, handling retractions, and calibrating confidence to evidence strength.

pku-yuangroup Bundle

Run the reference end-to-end research pass — fixed database query, local analysis, versioned artifacts with lineage, then an exported evidence package that verifies in a clean environment. Use as the first-run demonstration, as a benchmark case, or when a result must be handed to someone who was not there when it ran.

pku-yuangroup Bundle

Process many sequence files in batch (count, merge, split, convert, summarize) with memory-safe streaming and on-disk indexing using Biopython, pysam, or pyfastx. Use when iterating over a directory of FASTA/FASTQ files, merging or splitting datasets, building random access across many or huge files, or automating per-file operations without exhausting RAM.

pku-yuangroup Bundle

Runs JACKS (Joint Analysis of CRISPR/Cas9 Knockout Screens; Allen et al 2019 Genome Research) which models per-sgRNA log-fold-change as the product of a treatment-dependent gene-essentiality term and a treatment-independent guide-efficacy term. Covers the Bayesian decomposition math, the hierarchical efficacy prior shared across screens performed with the same library, when JACKS outperforms MAGeCK (multi-screen joint analysis, libraries with broad efficacy variance) and when it does not (single screen, novel libraries with no prior efficacy), library-reuse efficacy transfer, downstream essentiality interpretation, and the 2.5x sample-size reduction enabled by efficacy-aware testing. Use when running multiple screens with the same library, when guide-level noise is suspected to dominate per-gene signal, when reusing published essentiality reference screens for efficacy priors, or when comparing screens performed across cell lines that share library but differ biologically.

revfactory Bundle

A Van Westendorp PSM (Price Sensitivity Meter) methodology for price sensitivity analysis. Use this skill for 'PSM analysis', 'price sensitivity', 'Van Westendorp', 'optimal price', 'price acceptance range', 'willingness to pay analysis', and other price sensitivity research needs. However, actual survey execution and statistical software operation are outside the scope of this skill.

revfactory Bundle

Academic citation and reference standards guide. Referenced by the paper-writer and submission-preparer agents when composing citations and references. Use for 'citation format', 'APA', or 'references' requests. Original paper retrieval and professional database access are out of scope.

revfactory Bundle

Methodology for systematically performing Porter's 5 Forces analysis. Use this skill for 'Porter analysis', '5 Forces', 'industry competition analysis', 'entry barrier analysis', 'industry attractiveness', and other industry structure analysis tasks. Note: in-depth financial statement analysis and M&A advisory are outside the scope of this skill.

revfactory Bundle

A specialized skill that systematically guides academic thesis style, structure, and citation rules. Used by writing-coach and proofreader agents to improve academic writing quality and verify format compliance. Automatically applied in contexts such as 'academic style', 'thesis structure', 'citation format', 'APA style', 'argumentation structure', 'scholarly expression'. However, running plagiarism detection software (Turnitin) and journal submission on behalf of the user are outside the scope of this skill.

revfactory Bundle

Methodology for systematically calculating market size (TAM/SAM/SOM). Use this skill for 'TAM SAM SOM calculation', 'market size estimation', 'market sizing', 'market opportunity analysis', 'addressable market', and other market sizing tasks. Note: purchasing paid market research reports and directly collecting census data are outside the scope of this skill.

ndpvt-web Skill

Compress long contexts using the RAM (Read As Human) strategy: partition text into segments, score relevance against a query, fully retain high-relevance segments (close reading), and compress low-relevance segments into compact summaries (skimming). Use when: 'compress this long document for my query', 'summarize only the relevant parts', 'reduce context length before processing', 'skim this codebase for relevant sections', 'adaptive context compression', 'parallel segment relevance filtering'.

ndpvt-web Skill

Build and configure ECHO-style research platforms for running reproducible user studies comparing chat-based AI and web search interactions. Use when: 'set up a user study platform', 'build a chat vs search experiment', 'log participant interactions with LLMs', 'create a research workflow with surveys and tasks', 'export user study interaction traces', 'configure an IRB-compliant experiment with pre/post questionnaires'.

ndpvt-web Skill

Reuse prior coding experience across related repository tasks. Accumulate, summarize, retrieve, and inject compact experience from previously solved issues to boost accuracy and cut cost on downstream tasks. Use when: 'reuse context from prior fixes', 'apply experience from related issues', 'solve this like the last bug', 'use what we learned fixing X to fix Y', 'accumulate coding experience across tasks', 'context-aware issue resolution'.

ndpvt-web Skill

Process extremely long documents and contexts by compressing them into memory chunks, selectively retrieving relevant blocks via a gating mechanism, and reasoning iteratively with working memory. Based on the CogMem framework (arXiv:2602.08382). Use this skill when the user says: - "Analyze this huge codebase and answer questions about it" - "Process this long document and find the relevant sections" - "Reason over multiple files to trace a bug" - "Summarize and query across a 100K+ token context" - "Handle this context that's too long to fit in one pass" - "Multi-hop reasoning over a large repository"

ndpvt-web Skill

Extract high-level semantic patterns from fine-grained simulation or event logs using LM-guided program synthesis. Transforms raw numerical traces into annotated pattern timelines, then composes reward/query programs from natural language goals. Use when: 'analyze simulation logs for patterns', 'find high-level events in trace data', 'generate reward functions from goals', 'summarize physics simulation output', 'build pattern detectors for time-series logs', 'annotate event traces with semantic labels'.

revfactory Bundle

Knowledge base design guide. Referenced by faq-builder and manual-writer agents when systematically organizing FAQs and troubleshooting guides. Used for 'FAQ design', 'knowledge management', 'troubleshooting guide' requests. Note: wiki system implementation is out of scope.

revfactory Bundle

A specialized skill for the story-architect and narrator agents covering documentary narrative structure. Provides 3-act structure, emotion curves, scene arrangement, and narrative patterns by documentary type. Use for 'treatment,' 'narrative structure,' '3-act,' 'emotion curve,' and similar topics.

revfactory Bundle

A specialized skill for the researcher and fact-checker agents covering investigative research. Provides primary/secondary source collection, source reliability assessment, data triangulation, and bias analysis methodologies. Use for 'research,' 'fact-checking,' 'source verification,' 'investigative techniques,' and similar topics.

revfactory Bundle

A structured knowledge base of key regulatory laws. The 'law-mapper' and 'gap-analyst' agents must use this skill's law database and mapping methodology when identifying applicable laws by industry and mapping obligations. Used for 'applicable law verification', 'regulatory mapping', 'obligation extraction', etc. Note: Full compliance orchestration or remediation planning is outside the scope of this skill.

revfactory Bundle

A specialized skill providing PRISMA protocols and literature search strategies for systematic reviews. Used by the literature-searcher and critic-synthesizer agents when systematically searching, screening, and synthesizing academic literature. Automatically applied in contexts involving 'systematic review,' 'PRISMA,' 'literature search strategy,' 'inclusion/exclusion criteria,' or 'Boolean search.' Note: direct access to academic databases (Scopus, WoS) and meta-analysis statistical execution are outside the scope of this skill.

revfactory Bundle

A specialized skill for systematizing knowledge base content lifecycle management and quality governance. Used by the maintenance-planner and wiki-builder agents when managing content update cycles, ownership, and quality scores. Automatically applied in contexts involving 'content lifecycle,' 'governance,' 'update cycle,' 'document quality,' or 'knowledge management process.' Note: CMS server operations and automation script deployment are outside the scope of this skill.

yigityildiz0 Skill

Apollo-style prospecting umbrella skill. Use when Codex should behave like a lead-intelligence and outbound research assistant.

yigityildiz0 Bundle

Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform.

yigityildiz0 Bundle

Automatically plan and execute deep, evidence-backed, multi-source research when the user says "derin/çok detaylı araştır", "bütün siteleri/kaynakları tara", "yüzeysel olma", "güzel analiz et", asks for due diligence, a broad literature/market scan, a consequential comparison, fact-check, or a decision that cannot be supported by a quick lookup. If a research request says "gerekli/alakalı becerileri kullan", "bütün gerekli skilleri kullan", or similar, do not stop at this umbrella: select the smallest complete set of research-depth, owning-domain, evidence-verification, and independent-challenge skills while excluding unrelated or duplicate skills. Route one ordinary low-stakes lookup to quick-research and supplied long-form analysis to deep-reading-analyst.

yigityildiz0 Bundle

Help plan an event — from a birthday dinner to a wedding. Scales to the size of the occasion. Handles venue research, guest lists, timelines, vendors, and.

yigityildiz0 Bundle

Research a legal question with jurisdiction, date, procedural posture, current primary law, authoritative guidance, deadlines, evidence needs, uncertainty, and escalation clearly separated. Use for rights/obligations, contracts, disputes, regulations, filings, notices, court/tribunal or agency procedure, and legal-document review or drafting. Turkish triggers: hukuken hakkım ne, mevzuatı araştır, dava/itiraz süresi, sözleşme incele, dilekçe/ihtar taslağı. Provide legal information, not guaranteed outcomes or impersonated counsel.

yigityildiz0 Bundle

Automatically perform a fast, reliable web lookup when the user conversationally says "araştırır mısın", "bir bak", "bakabilir misin", "güncel mi", "fiyatı ne", "hangisi", "doğru mu", or asks for a small low-stakes comparison or factual check. Verify the exact identity and current date, open 2–5 suitable authoritative or primary sources as needed, distinguish official/independent evidence from ads, sponsors, affiliates, sellers, and copied content, and return a concise sourced answer. Route broad, consequential, disputed, due-diligence, literature-scan, or "derin/bütün kaynaklar/yüzeysel olma" requests to deep-research; route medical/financial/legal/safety questions to the relevant specialist plus evidence-integrity-guard.

yigityildiz0 Bundle

Research any topic across Reddit, X (Twitter), and the web to identify recent trends (last 30 days) and generate production-ready prompts or recommendations

yigityildiz0 Skill

Customer-support umbrella skill. Use when Codex should draft support replies, triage issues, summarize tickets, or prepare help content.

yigityildiz0 Bundle

Use this skill ANY TIME the user asks about a specific company. Triggers: "tell me about [company]", "research [company]", "what does [company] do", "who is.

yigityildiz0 Bundle

Orchestrate evidence-based investment research and decisions across equities, funds/ETFs, BIST/TEFAS, macro regimes, technicals, crypto, futures, warrants, portfolios, sizing, pre-trade checks, thesis tracking, journals, and short- or long-horizon forecasts. Use for buy/hold/add/reduce/sell/compare, “what should I buy”, highest-upside, position-size, reconsideration, or Turkish intents such as “alınır mı”, “ne alayım”, “en çok ne artar”, “sat/tut/artır/azalt”, “ne kadar yükselir/düşer”, “kaç lot/adet”, “portföyümü analiz et”, and “emin misin”. Verify current evidence, quantify ranges, challenge the leader, and give a clear conditional action without guaranteed-return language. Never trade autonomously or handle credentials.

pku-yuangroup Bundle

Calculates tumor mutational burden from WES/WGS/panel data with Friends of Cancer Research harmonization equations, per-assay calibration (FDA 10/Mb = 7.8 TSO500 = 8.4 OncomineTML), synonymous/indel/germline filtering, hypermutator tiering, blood TMB, and integration with HLA-LOH and neoantigen quality (Luksza 2017 fitness). Use when assessing ICI eligibility under tumor-specific cutoffs (McGrail 2021), comparing tissue vs bTMB, or auditing TMB-H reporting against ESMO 2024 and FDA pembrolizumab pan-tumor 2020.

jiayaoqijia Bundle

Build trading strategy plans via the ChainGPT plugin: DCA (dollar-cost-averaging), grid trading, Hyperliquid funding-rate arbitrage, copy-trading from a target wallet, and DCA backtesting against historical price data. The strategy tools COMPUTE THE PLAN; Claude executes the steps one by one via Tier 1-3 tools (research, risk, dex, defi, hl, pm) — every action still gated by the mainnet acknowledgement refusal. Triggers: DCA, dollar cost average, grid trade, funding arb, copy trade, copy trading, strategy, backtest, replay strategy, recurring buy, periodic buy, ladder.

jiayaoqijia Bundle

Read live Polymarket prediction-market data via the ChainGPT plugin. Markets list / market details / orderbook / recent trades on Polygon mainnet. Ties into ChainGPT's Foresight AI / PredictFi surface. Read-only in v1.6 — signed order placement (Polymarket CLOB / EIP-712) is a follow-up. Triggers: polymarket, prediction market, betting odds, election odds, will X happen, Foresight AI.

rudironsoni Bundle

Use when user requests research requiring multiple sources, comprehensive analysis, or synthesis across topics - technical research, domain knowledge gathering, market analysis, or learning about complex subjects