'lineage' 검색 결과

Develop AxonX plugins and manage quantitative finance research through the command line or MCP, an agent connection interface. Track data preparation, training, prediction, and historical strategy tests using execution status, logs, artifacts, and dependencies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Develop research plugins with defined inputs and outputs
• Run data preparation, training, prediction, and backtests
• Investigate failed tasks through status and logs

Validate generated PowerPoint decks for layout problems, accessibility, editable content, source references, and file integrity. Follow a repair and recheck workflow, keeping audit reports and build records together for delivery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check generated slides before delivery
• Find overlapping content and overflowing text
• Review accessibility and editable slide objects

Design dbt data transformations with clearly organized models, data quality tests, documentation, and incremental processing that updates only part of a dataset. Use it to structure analytics tables and organize a dbt project.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing a dbt project into model layers
• Adding data quality tests
• Designing incremental updates for large tables

Research malware families through Malpedia, connecting aliases, associated threat groups, and relationships between malware that loads other malware. Collect YARA rules, patterns used to identify malware, and organize references to support investigations and detection work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resolving different vendor names for the same malware
• Mapping malware associated with a threat group
• Documenting chains in which malware loads other malware

Turn plain-language descriptions or Mermaid diagrams into interactive, standalone HTML diagrams of systems, workflows, API exchanges, data flows, and state changes. Validate layouts, explore relationships, switch themes, and export diagrams as images or video.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explain system components and their relationships
• Visualize workflows and approval steps
• Map API calls and data pipelines

Plan an agent's handover to a fresh successor before its context fills up. Prepare transfer materials, preserve the role's address, record tenure history, and explicitly transfer recurring duties and authority while keeping a way to consult retained predecessors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a handover before an agent's context fills up
• Transferring recurring duties and authority
• Recording an agent role's tenure history

Helps an agent take over an existing role after a planned handover. It guides checks of inherited records, identity, authority, and recurring duties, while explaining how to recover the predecessor’s reasoning and preserve lessons for the next agent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Getting oriented after a planned agent handover
• Checking inherited records and recurring duties
• Recovering the reasoning behind earlier decisions

Guide an approved defect fix from reproduction on current main through testing and independent validation. Record evidence for each operator workflow, track change size and rollback scope, and apply review records when receipt-driven development is enabled.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reproducing approved defects before implementation
• Recording runtime evidence for CLI and lifecycle flows
• Splitting fixes by cause and rollback scope

Start and monitor an Ouroboros development loop that revises project concepts and acceptance criteria, the conditions for judging completion. Run and evaluate successive generations, focus revisions on failed criteria, inspect progress, or rewind to an earlier generation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refining a project through repeated execution and evaluation
• Inspecting progress across generations
• Rewinding a development loop to an earlier generation

Save design documents with branch, author, and revision history so later sessions can recover earlier decisions. Keep previous versions intact, search related designs, and carry constraints and recommendations into implementation or review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Save design decisions after planning
• Trace revisions for a Git branch
• Recover design context in a later session

Use LaminDB to organize biological datasets, search their metadata, and track how analyses produce results. Standardize annotations with biological vocabularies, validate data structures, and record versions and computational history for reproducible research.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Standardizing cell type annotations in single-cell data
• Searching datasets across multiple experiments
• Tracing analysis results back to their inputs and code

Diagnose and repair CCB ask/job/message/reply/artifact/callback lineage. Use for missing replies, incomplete artifacts, pending callbacks, retry/resubmit/ack decisions, reply delivery problems, or work-chain resume advice.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diagnose a named CCB agent by combining authoritative runtime and job lineage with deep read-only pane inspection, apply bounded recovery when evidence supports it, verify the result, and request authorization before submitting a redacted GitHub issue. Use for `$ccb_diagnose agentname`, `$ccb-diagnose agentname`, or reports that a CCB agent is stuck, disconnected, not continuing, not replying, or showing provider errors.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Diagnose a named CCB managed agent using runtime, job-lineage, and provider evidence.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

[omh] Data pipeline work -- an ETL or streaming job, a backfill or replay, duplicate events, a schema change downstream, a lineage question, a data-quality regression: make every rerun idempotent, bound every replay, and gate each load on observed checks. Use when the user says: data-pipelines, data pipeline, data pipelines, etl, elt, etl pipeline, etl job, etl backfill.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Establishes ownership, definitions, quality, access, and lineage for the organization's data. Use this when metrics disagree between teams, when nobody knows which dataset is authoritative, when setting up data ownership or access policy, when data quality is unreliable, or before opening a dataset to a wider audience.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

This skill is applicable when using LaminDB. LaminDB is an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR-compliant. It is suitable for managing biological datasets (scRNA-seq, spatial transcriptomics, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakes, or ensuring data lineage and reproducibility in biological research. It covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integration with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Author and validate durable data and ML feasibility studies using the Feasibility Study Interchange Profile, constrained YAML authority, UUID URN identity, lifecycle lineage, and evidence traceability. Use when assessing whether available data and technical evidence support a proposed outcome.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Authoring skill for Architecture Decision Records (ADRs) supporting capture, from-planner-handoff, and adopt-template entry modes with selectable Y-Statement or MADR v4.0.0 output templates, supersession lineage, and ASR trigger evaluation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Continues interrupted Codex work only after read-codex-history verifies rollout identity and fork/compaction lineage — restores the original outcome, unfulfilled requests, and the next action. Use when given a Codex Session ID, asked to pick up a prior Codex run, told Codex was interrupted, fused, compacted or stuck, or asked to take over without `codex resume`. Not for a conversation Codex already natively resumed.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Reads, searches and exports local OpenAI Codex history without continuing work: session inventory, timelines, verbatim user input, indexed search, and rollout identity/fork lineage. Use when the user asks what they told Codex, wants a Session ID, or evidence of what a run did. Not for Claude Code (use read-claude-code-history); with no platform named, start at local-conversation-history.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Guide work.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when positioning an ACM CCS submission against the security big-four and specialist literature, including arXiv preprints, prior CCS/S&P/USENIX/NDSS papers, concurrent disclosures, CVE and advisory records, and the attack-and-defense lineage that a SIGSAC program committee expects to see credited.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when building or repairing the literature review for 《会计研究》 (Accounting Research) — entering the accounting research lineage (earnings quality, conservatism, audit quality, disclosure, value relevance) rather than piling recent Chinese empirical citations, and positioning the gap as an accounting contribution.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.