Results for “compare”

Reads two or more supplier, bid or tender responses against a requirements list and returns a DRAFT comparison pack: a requirement-by-supplier matrix, gaps per supplier, clarification questions and neutral observations, for an evaluation panel. Never scores, weights, ranks or recommends a winner; the award stays with the panel. Use when the user asks to "compare these bids", "matrix the tender responses against our requirements", "collate the RFQ replies", "show me where each supplier falls short" or "draft clarification questions for the bidders". Do not use for scoring or weighting against agreed criteria, use supplier-evaluation-matrix instead, or for writing the requirements, use rfp-requirements-pack instead. Drafts for human review; never approves, authorises or signs off.

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Turns a business need and its constraints into a DRAFT RFP requirements pack: traced functional and non-functional requirements with priorities, mandatory gates, evaluation criteria with weights left to the business owner, and fact-seeking supplier questions. Solution-neutral; never names a supplier or product. Use when the user asks to "write the RFP requirements", "turn this business case into tender requirements", "draft the supplier questionnaire", "structure our RFQ from this brief" or "set up evaluation criteria before we go to market". Do not use for responses already received, use rfp-comparison-pack to compare them or supplier-evaluation-matrix to score them instead. Drafts for human review; never approves, authorises or signs off.

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Pre-checks one expense claim or travel plan, line by line, against the expense or travel policy the user supplies, and returns a DRAFT precheck sheet: the policy clause matched to each line, the limit quoted as the policy states it, whether the amount sits within, at or outside that limit, missing receipts, pre-approvals or justifications, and neutral questions for the approver and the claimant, with UNKNOWN wherever the policy or the claim is silent. Use when the user asks to "check this expense claim against policy", "pre-check my travel request", "is this claim within policy", "review these expenses before I submit them", "what receipts or approvals are missing" or "prepare the approver's questions for this claim". Do not use for a purchase order log or spend extract, use purchase-order-anomaly-review instead; do not use to compare a policy against a standard or regulation, use policy-gap-review instead. Drafts for human review; never approves, authorises or signs off.

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価値概念とIT要求・活動のスコア乖離検証結果の良い点・悪い点を分析し、改善のための問いを生成

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価値概念との乖離を検証

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検証結果に基づいてスコア乖離検証結果を洗練・修正する

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スコア乖離検証結果の検証を行う時の観点を説明する

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Analyze Codex provider rollout JSONL and ego-benchmark-harness run artifacts to identify slow or failed individual tasks, tool retries, token/cost anomalies, and differences in agent execution paths. Use when users ask to analyze a Codex session or rollout, explain why a Codex task was slow or failed, inspect a Codex provider execution trace, compare Codex runs, count function_call or tool output events, or investigate agent-home/.codex/sessions.

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Verify a tested web agent's real behavior from its recorded Pi or Codex session and selected screenshots before scoring. The judge prompt provides absolute artifact paths; use targeted queries to compare actual outputs, errors, and the final answer with the recorded behavior, then return only the verdict JSON. Only for ego-bench judging—never to drive a browser or rerun the agent.

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Capture and compare Clawix UI performance budgets for critical flows before optimizing visible or runtime UI behavior.

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Load when a task asks to research, verify, compare, or look up framework/package behavior, release notes, standards, RFCs, CVEs, or unfamiliar APIs; use repository evidence first, then official docs, and not for codebase navigation alone.

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Throwaway design probe for logic, state models, UI variations, and affordances before production work. Use when the user wants to prototype, sanity-check a model, make something playable, compare UI directions, or explore a design before ln-spec/ln-plan/ln-scope.

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Stock quotes, history, search, compare, crypto via Yahoo.

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Throwaway HTML mockups: 2-3 design variants to compare.

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In each setting, LLM-based methods substantially outperform classical baselines, achieving up to 68% recall at 90% precision compared to near 0% for t

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AI Agent Index Categories Find Agent + Submit Compare Alternatives Stacks Advertise API Home / AI Coding Agents Best AI Coding Agents (2026): IDEs, Te

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同業種の複数企業（3〜5社程度）を横並びで比較し、業界内のポジショニングを整理する時に使う。「〇〇と△△を比較して」「この業界の主要企業を並べて」のような、複数社の比較指示で発火する。

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Standard operating procedure for an auditable, headless MIKE+ workflow via the mike-plus MCP server — how to plan, copy, run, QA-gate, compare, plot, audit, and safely stop. Use FIRST whenever an agent is handed a MIKE+ model (.sqlite) or result (.res1d) plus a plain-language goal; it picks the operating mode and tells the agent which mike-* skill to open next and in what order.

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End-to-end eval-suite orchestration with the `eval` command: run -> grade -> compare -> calibrate, using strict JSON contracts and schema discovery.

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Analyze graded `trial_result` JSONL outputs from the eval pipeline, including reliability and custom slicing.

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Diff a live page's accessibility violations against a baseline — by default compares uncommitted changes (stash-based), or pass --branch [<name>] to diff against a branch. Reports only new violation

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Discover AAS skills for an explicit task and compare their complete instructions without installing them.

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Use when the user asks to "analyze influencer campaign performance", "compare influencers", or "find what content worked"; produces metric scorecards vs target and benchmark, platform/influencer/content rankings, engagement-quality and sentiment reads, conversion-attribution breakdowns, and ranked learnings. Not for dollar-level return math — use roi-calculator. 达人营销效果分析/投放复盘

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Use when the user asks to "read back" a paid campaign change, "did this ad change work", or "compare ROAS/CPA before and after"; reads ROAS/CPA against a control over a fixed readback window and returns a Promote / Keep-testing / Rollback / Unproven readback decision with the math delegated to roi-calculator. Not for RQS scoring or veto adjudication — use ad-account-auditor; not for the ROI ratio math — use roi-calculator; not for cross-channel rollups — use performance-analyzer. 付费广告复盘/ROAS回看/投放效果归因

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