'calibration' 검색 결과

Designs and validates quantitative targeted metabolomics assays (MRM/SRM on triple-quadrupole, PRM on high-resolution instruments) to report absolute concentrations. Covers the internal-standard strategy (external cal -> global IS -> standard addition -> stable-isotope-labeled IS), weighted calibration judged by back-calculated %RE not R-squared, ion-ratio quantifier/qualifier confirmation, matrix-effect/recovery characterization, and ICH M10 method validation. Use when quantifying a closed panel of known metabolites with units, building or validating an LC-MS/MS assay, choosing an IS or calibration weighting, or judging whether a reported concentration is trustworthy. For untargeted feature detection see metabolomics/xcms-preprocessing; for group statistics see metabolomics/statistical-analysis; for flux/MID/tracing see metabolomics/isotope-tracing.

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Method for choosing and auditing an agent's reasoning_effort. Use when setting or reviewing reasoning_effort, when an agent was created with high, or when asked to cut reasoning spend. NOT for changing an agent's model (use test-model-selection).

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Diagnose when intuitive judgment, agent confidence, or expert routing can be trusted by classifying environment validity, feedback quality, and task-boundary fit. Use for confidence calibration, agent routing, expertise audits, and escalation design. NOT for deterministic implementation tasks, pure syntax debugging, or domains with explicit verifiable answers.

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Diagnose when intuitive judgment, agent confidence, or expert routing can be trusted by classifying environment validity, feedback quality, and task-boundary fit. Use for confidence calibration, agent routing, expertise audits, and escalation design. NOT for deterministic implementation tasks, pure syntax debugging, or domains with explicit verifiable answers.

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Quarterly Silicon Agent performance evaluation with ByteDance-style calibration, forced distribution ranking, dual-track (technical/management) assessment, and automated score calculation. Includes real evaluation forms, calibration meeting scripts, and PIP templates.

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7-agent paper review system on Hermes Agent. 6 modes (full/re-review/quick/methodology-focus/guided/calibration). 5-panel review with editorial decision, revision roadmap, and calibration metrics. Uses delegate_task for each reviewer. Triggers: review paper, peer review, manuscript review, check revisions, calibrate reviewer, 審稿, 同儕審查, 論文審查.

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Staff 엔지니어 승진에 필요한 담당 범위, 실적 근거, 결과물과 영향을 정리해 상사나 평가 위원회에 제시할 흰 바탕의 잡지풍 HTML 슬라이드를 만듭니다.

• Staff 엔지니어 승진 자료를 준비합니다
• 상사에게 실적과 근거를 설명합니다
• 승진 심사를 위해 업무 영향을 정리합니다

빈방 상태와 재실자의 활동을 기록해 해당 방에 맞는 감지 모델을 학습합니다. 학습 후에는 사람의 유무, 자세, 호흡을 실시간으로 확인하는 과정까지 다룹니다.

• 특정 방에 맞는 감지 모델 학습
• 빈방 상태와 재실자 활동 기록
• 학습 후 사람 유무와 자세 및 호흡 확인

Check physical units, propagate measurement uncertainty through calculations, and format results with meaningful precision. Local tools also inspect Python code for unit and uncertainty mistakes and assess whether calculated magnitudes are physically plausible.

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• Convert units while carrying measurement uncertainty
• Build an uncertainty budget from calibration data
• Audit Python calculations for unit and uncertainty errors

Organize ISO evidence for medical devices and laboratories, including controlled documents, risk records, corrective actions, and supplier controls. Produce structured gap reports for authorized human review while keeping certification, accreditation, and regulatory processes distinct.

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• Organize controlled documents and implementation records
• Check links in medical-device risk and design records
• Review corrective-action and supplier-control evidence

Plan, draft, and revise academic papers with support for literature reviews, bilingual abstracts, citation checks, and responses to reviewers. The skill also formats manuscripts for publication requirements and produces Markdown, LaTeX, DOCX, or PDF outputs.

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• Planning a paper’s structure and evidence
• Drafting a manuscript and bilingual abstracts
• Turning reviewer comments into a revision plan

Design criteria for using an LLM to judge AI responses through scoring or comparisons between two answers. Includes checks for order and length bias, plus validation against human judgments to assess evaluation reliability.

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• Build an automated evaluation pipeline for AI responses
• Compare responses after changing a prompt or model
• Define shared scoring criteria for reviewers

Route a goal through acc's scored-memory workflow, which uses evaluated stored information. Handle returned reasoning frames, submit proposals with confidence estimates, and present final answers with reference IDs before recording the eventual outcome.

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• Submit a goal to acc's scored-memory workflow
• Review a returned frame and submit a proposal
• Present answers with commitment and reference IDs

Prepare an evaluation framework before fine-tuning a language model. Build labeled examples, checks for each failure type, and a base-model benchmark, while calibrating model-based judges against human labels to support comparisons after training.

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• Build an evaluation set from agent traces
• Create separate checks for each failure type
• Calibrate an LLM judge against human labels

Organize parallel code reviews across security, performance, architecture, testing, and accessibility. It helps assign review areas, merge duplicate findings, apply consistent severity ratings, and produce one report with locations, impacts, suggested fixes, and prioritized actions.

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• Assigning review areas for a code change
• Merging duplicate findings from multiple reviewers
• Aligning severity ratings across review reports

Use a constructive thinking partner to review assumptions, separate evidence from interpretation, and test alternative explanations. Refine conclusions and wording so claims match the available evidence and support decisions under uncertainty.

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• Checking assumptions before an important decision
• Reviewing whether evidence supports a conclusion
• Testing alternative explanations and counterexamples

Plan customer acquisition across paid ads, SEO, and partnerships. Structure channel budgets, calculate customer acquisition cost, define lead handoffs to sales, and set up campaign tracking to understand which activities contribute to new business.

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• Planning acquisition channels and marketing budgets
• Reviewing ad spend and customer acquisition cost
• Defining lead scoring and handoffs to sales

Design interview processes for specific roles and experience levels, with round objectives, timing, suggested questions, and scoring criteria. Help interviewers align their judgments and review potential bias before using the process.

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• Designing interview rounds for a specific role
• Preparing questions for each interview round
• Aligning scoring criteria across interviewers

Review Agent-Native Research Artifacts, structured research packages for agents, across six dimensions of research quality. Produce a JSON report with scores, strengths, severity-ranked findings, practical improvements, and an overall acceptance or rejection recommendation.

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• Reviewing an ARA before publication
• Checking whether evidence supports research claims
• Assessing experimental methods and research records

Adjust an existing litigation practice profile through a guided conversation. Update roles, risk thresholds, document styles, contacts, or workflow settings one change at a time, with an explanation of downstream effects and checks for inconsistent settings.

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• Updating litigation risk thresholds
• Changing document styles and templates
• Updating outside counsel and escalation contacts

Set up a litigation practice profile through an interview tailored to your role and the side you represent. Record risk preferences, writing conventions, and working context in CLAUDE.md for later litigation tasks, and check available integrations.

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• Set up a litigation plugin for the first time
• Tailor practice settings to your role and litigation side
• Update risk preferences and document style

Triage quick legal questions against company risk guidelines and return a brief proceed, review, or hold response. It checks for hidden issues in apparently simple requests and identifies the next step when further review is needed.

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• Answering a product manager's quick legal question
• Checking permission to display customer logos
• Spotting data and consent issues in feature changes

Review a product launch against the team's legal framework and risk standards. Produce a category-by-category memo with required actions, owners, and deadlines, plus a separate tracker comment that omits internal legal reasoning.

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• Reviewing legal issues before a product launch
• Listing required actions, owners, and deadlines
• Checking privacy and AI issues in a new feature

Set up product legal workflows through an interview about company context, review practices, and approval routes. Past launch reviews help establish which risks block release, while connector checks record which tracking and document services actually respond.

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• Setting up product legal workflows for the first time
• Recording company risk thresholds from past launch reviews
• Updating review practices when onboarding product counsel