[OMX] Bounded best-practice research wrapper using official/upstream evidence first
Load research corpus into the database by processing files, directories, or URLs through semantic chunking, embedding generation, entity extraction, and relationship building
Production-ready brief for short-form video — hook, shot list, on-screen text, audio plan, caption, CTA, aspect, length. Covers live-action + motion-graphic.
Builds a board-ready Category Strategy Playbook for ONE spend category with deep external research. Triangulates market size, CAGR, supplier landscape, cost structure, PESTLE,…
Quasi-experimental design and analysis (diff-in-diff, synthetic control, ITS, regression discontinuity) for when randomised testing is infeasible. Routes to stats-reviewer.
Run metric-driven iterative optimization loops. Define a measurable goal, build measurement scaffolding, then run parallel experiments that try many approaches, measure e — from…
[BETA] Execute work with external delegate support. Same as ce-work but includes experimental Codex delegation mode for token-conserving code implementation.
Generate research-backed content briefs with keywords, competitors, intent, and SEO strategy from a topic.
ALWAYS use when reviewing GitLab MR diff and posting review findings as MR comments via glab CLI. ALWAYS use when user mentions MR 리뷰, MR review, MR 검토, MR 코드 리뷰, MR 안전성 리뷰, MR…
Verify academic paper references — automated ground truth check + live arXiv verification + multi-agent cross-review protocol.
This skill should be used when creating or organizing working files in the .claude/ directory. It enforces consistent structure, naming conventions, and required cross-references…
Analiza críticamente textos argumentativos: framework Paul & Elder (8 elementos + 9 estándares), detección de falacias lógicas y sesgos cognitivos. Evalúa solidez de argumentos.
Audit and optimize Claude Code configuration with dynamic best-practice research
Extract full paper details from a CNKI paper page including title, authors, affiliations, abstract, keywords, fund, classification.
Auto-generates a Markdown codebook from a dataset (CSV, DTA, Excel, Parquet) with types and summary statistics. Use when documenting variables.
Deep-dive research using Codex with Claude's cross-model synthesis. Use when asked \"codex research\", \"codex 리서치\", \"딥다이브\". Not for code review or plan verification.
Add Kaggle/Colab/local environment branching to a notebook copied from Kaggle. Use when you have a Kaggle notebook that needs to run on Colab or locally — inserts ENV detection…
Research new Claude Code features, compare against coide's VISION.md, and suggest what to add to the roadmap
สร้างเอกสารการเรียนรู้ระดับ world-class สำหรับหัวข้อใดก็ได้ — research จาก official docs, verification โดยรัน code จริง, quality review loop จนได้ 100 ทุก dimension, และ learning…
Create a new easy-db-lab kit (kit.yaml + K8s manifests, metrics, dashboards, docs) for any database or workload.
Create detailed implementation plans with codebase research and, after explicit user approval, publish the approved phased plan to Linear by creating a project under a chosen…
Implement a new custom `tally/*` Dockerfile lint rule end-to-end (rule code, overlap research, fix coordination, realistic tests/fixtures, snapshots, and docs).
Pesquisa multi-fonte sobre pergunta ou tópico de cliente com atribuição de fontes. Use quando um cliente pergunta algo que precisa ser verificado, investigando se um bug foi…
Manipulate CSV files - view, filter, sort, convert to JSON/Markdown, get statistics. Use when working with CSV data files.
Multi-source research on a customer question or topic with source attribution. Use when a customer asks something you need to look up, investigating whether a bug has been…
Academic paper review pipeline for computer vision LaTeX papers with professor, peer, and official reviewers
Post-session documentation chain — propagate changes through lab-notebook, journal, architecture, MEMORY, snapshot, and commit.
Profile a CSV/TSV/Excel file - detect format, compute statistics, show value distributions
Research the user's arXiv/repo knowledge base using a MCP retrieval tool called lodestone to answer questions with paper-grounded and repo-grounded citations.
Enhance a plan with parallel research agents for each section to add depth, best practices, and implementation details
Performs thorough deep research on any topic using web search, Context7 docs, and GitHub CLI. Saves structured results to docs/ directory.
Run a deepwork session: research/design convergence (default) or plan execution (--mode execute). Design mode spawns a 5-archetype oppositional team and delivers an approved plan.
Synthesize user research into themes, insights, and recommendations. Use when you have interview transcripts, survey results, usability test notes, support tickets, or NP — from…
Research external context for a dataset — domain background, history, related studies, and why this data matters.
End-to-end workflow for taking a new tool idea from research to working MVP. Use when the user has an idea for a CLI tool, library, or small project and wants to go from concept…
Add a physics lesson — particle dynamics, rigid bodies, collisions, constraints, rendered with SDL GPU
Master orchestrator for the AI-driven development workflow. Use when starting a new User Story / Issue implementation.
Generate NGM Commons directory listings with iterative research and quality review. Uses Perplexity for deep research and Claude Opus for content generation with embedded SVG…
Have an interactive discussion about a topic, approach, or feature. Researches the codebase as needed, talks through options, and updates ./tmp/context.md with decisions.
Use when posting a GitHub investigation issue for an unverified finding, potential gap, or anomaly that needs root-cause analysis before any action is taken.
Use when creating a presentation about a feature, concept, or system. Researches the topic, structures content for accessibility, generates diagrams, and exports polished Marp…
Set up or audit documentation health for any repo. Use 'init' to bootstrap a docs/ structure (plans/, design/, research/) with YAML front matter, agent discovery scripts, and…
This skill should be used when the user asks to "optimize with SIMBA", "use Bayesian optimization", "optimize agents with custom feedback", mentions "SIMBA optimizer", "mini-batch…
Fetch a Bug work item from Azure DevOps/Jira, find the affected component in the codebase, and save triage findings.
Generate an implementation plan with status-tracked steps. Creates implement.md from explain.md + research.md. Uses extended thinking for deep reasoning.
Full requirements pipeline — fetch ADO/Jira story, validate DoR, distill requirements, research codebase, generate team summary.
Run eggNOG-mapper on genome protein FASTA files to generate functional annotations (COG, GO, KEGG, EC, PFAMs).
Select the right price-elasticity estimation method (historical regression / survey / experimental) given data availability, and produce an implementation plan with required N.
Use when the user asks to "write the email", "draft subject lines", or "build email creative"; produces the pre-click unit — subject-line variants + preheader, body copy, one…
Scores a launched landing page from real performance evidence inside an existing eval loop — writes a cycle eval snapshot and appends the loop results ledger.
Closes the feedback loop for short-form video — scores a published post against its original brief and the matching short-form platform-intelligence catalog on a 4-dimension…
Use when the user invokes /evolve-loop or asks to run autonomous improvement cycles, self-evolving development, compound discovery, or multi-cycle code improvement with research,…
Experiment verdict gate — Review LLM independently judges results → 4 verdict paths → auto-update the linked idea's status / failure_reason and graph edges
Full experiment execution pipeline — prepare code → deploy(Confirm with the user before operation and ask the applicant to conduct manual inspection) → monitor → collect results,…
Audit experiment integrity before claiming results. Uses cross-model review (GPT-5.4) to check for fake ground truth, score normalization fraud, phantom results, and insufficient…
Turn a product or growth idea into a rigorous experiment brief and post-test readout format.
SSH job queue for multi-seed/multi-config ML experiments with OOM-aware retry, stale-screen cleanup, and wave-transition race prevention.
Analyse A/B test results — significance, CIs, segment cuts, novelty/primacy check, SRM, decision matrix application, and follow-up experiments.
Deep codebase research — five parallel search modalities (names, content, structure, git history, tests), deep-reads of every lead, a cited synthesis, and a completeness critic.
Evaluates judge scoring fairness in competitions by detecting systematic bias (leniency/strictness) and contestant-specific anomalies (favoritism/prejudice) using statistical…