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cccskills

「assess」の検索結果

2,401 件 ・ 関連度順

概要と使いどころ

Evaluates a software or startup idea against problem, market, competition, monetization, defensibility, and execution, and returns a verdict rather than encouragement. Use this when an idea needs pressure-testing before anyone builds, when deciding whether something is worth pursuing, when assessing competition or willingness to pay, or when a validated idea needs a first-customers and MVP plan. Default to scrutiny; the useful answer is usually the unwelcome one.

日本語の概要は準備中です。原文の説明を表示しています。

cbrock84/headcount2,0572026年9月18日 更新

Handles customer situations that have exceeded normal support — severity assessment, incident communication, executive escalation, and recovering a relationship after a failure. Use this when a customer issue is escalating or has gone to leadership, during a customer-affecting outage, when a major account is at risk, when a relationship needs repairing after a failure, or to design the escalation path itself.

日本語の概要は準備中です。原文の説明を表示しています。

cbrock84/headcount2,0572026年9月18日 更新

Tencent Survey (wj.qq.com) online survey platform skill. Supports survey creation, question management, answer collection, and data export. Use when user mentions surveys, questionnaires, forms, polls, exams, or assessments.

日本語の概要は準備中です。原文の説明を表示しています。

openakita/openakita1,9982026年9月24日 更新

Draw ROB2 risk-of-bias plots, including a Traffic Light Plot and a Summary Bar Plot. Input is a CSV file with ROB2 assessments for each study; output are two PNG plot files.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Generate radial plots (Radial Plot/Galbraith Plot) for heterogeneity analysis. Visually assess heterogeneity across studies by displaying the relationship between standardized effect sizes and precision. Input: Meta-analysis data in CSV format; Output: Radial plot PNG and data CSV.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Conduct professional peer reviews for papers or theses, providing structured evaluations and improvement suggestions; use when you need a pre-submission assessment, an internal review, or academic quality control.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Assists R&D teams with patent technical disclosure drafting and patent/novelty search analysis; use when users ask to write a patent disclosure, structure an invention description, search related patents, or assess novelty.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Generates the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics. Use when the user wants to draft the risk of bias analysis text from provided data tables.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Generates the Methods section for a meta-analysis paper, including search strategy, screening, quality assessment, data extraction, and statistical analysis.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Generate structured SOAP notes from clinical narratives, transcripts, or existing notes; use when the user needs de-identified clinical documentation organized into Subjective, Objective, Assessment, and Plan sections, with clear assumptions and review points.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Designs primary, secondary, and exploratory endpoints for biomedical and clinical research protocols. Always use this skill when a user needs to translate study aims into operational endpoint definitions with event rules, assessment timing, composite logic, interpretability, and protocol-stage auditability. Focus on endpoint precision, feasibility, clinical meaning, ambiguity reduction, and implementation readiness rather than generic study design advice.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Generates CIOMS I-compliant ICSR narratives from adverse event case data for FDA and EMA regulatory submission. Includes temporal analysis, MedDRA coding, causality assessment using WHO-UMC or Naranjo criteria, and multi-format output.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Generates complete phenotype-scoring bioinformatics research designs for any disease context and any user-defined phenotype, pathway, process, signature, or molecular program. Use when a study centers on gene-set or feature-set definition, intersection with DEGs or candidate features, phenotype scoring, feature selection, diagnostic or stratification assessment, immune or cellular-resolution interpretation, network analysis, and optional orthogonal validation. Covers five study patterns (signature discovery, phenotype scoring, feature selection, immune/cellular interpretation, multi-layer validation) and always outputs Lite / Standard / Advanced / Publication+ with a recommended primary plan, stepwise workflow, figure plan, validation hierarchy, minimal executable version, publication upgrade path, and strictly verified literature retrieval.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Use when performing sample-level dimensionality reduction and visualization on abundance or OTU-style matrices with a companion group file, generating UMAP and/or t-SNE coordinates and plots for group separation assessment. NOT for: differential expression testing, single-cell workflows requiring dedicated embeddings pipelines, or analyses without a sample grouping file.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Assesses whether study results are trustworthy by auditing design integrity, sample structure, statistical handling, bias control, validation chain, and claim discipline. It identifies where results are robust, fragile, overfit, under-validated, or overclaimed. Always separate reported findings from reliability judgment. Never fabricate references, PMIDs, DOIs, trial identifiers, study features, or validation claims.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Use when assessing how well a survival model's predicted probabilities agree with observed outcomes by fitting a Cox model and generating bootstrap calibration curves at one or more prediction horizons from a clinical CSV file. NOT for: nomogram construction, univariate Cox screening, ROC analysis, or decision-curve analysis.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Acknowledges limitations in sample, design, measurement, and validation in a professional way that improves credibility without undermining the whole paper. Use when writing the limitations paragraph of a Discussion section, preparing a grant risk assessment, responding to reviewers about study weaknesses, or framing scope boundaries for a paper. Also triggers on "write my limitations", "how should I address the limitation of", "reviewer said my sample is too small", or "help me word this limitation".

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Use when building a sample-level hierarchical clustering dendrogram from a bulk expression matrix and sample annotation table, especially for QC, batch inspection, or sample similarity assessment. Trigger keywords: hierarchical clustering, dendrogram, sample QC, batch inspection, sample similarity. NOT for: differential expression testing, gene clustering heatmaps, single-cell clustering workflows.

日本語の概要は準備中です。原文の説明を表示しています。

aipoch/medical-research-skills1,9552026年9月17日 更新

Use this skill to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables. **Trigger when user asks to:** - Analyze database tables for hypertable conversion potential - Identify time-series or event tables in an existing schema - Evaluate if a table would benefit from Timescale/TimescaleDB - Audit PostgreSQL tables for migration to Timescale/TimescaleDB/TigerData - Score or rank tables for hypertable candidacy **Keywords:** hypertable candidate, table analysis, migration assessment, Timescale, TimescaleDB, time-series detection, insert-heavy tables, event logs, audit tables Provides SQL queries to analyze table statistics, index patterns, and query patterns. Includes scoring criteria (8+ points = good candidate) and pattern recognition for IoT, events, transactions, and sequential data.

日本語の概要は準備中です。原文の説明を表示しています。

timescale/pg-aiguide1,8692026年10月15日 更新

Comprehensive security engineering skill for application security, penetration testing, security architecture, and compliance auditing. Includes security assessment tools, threat modeling, crypto implementation, and security automation. Use when designing security architecture, conducting penetration tests, implementing cryptography, or performing security audits.

日本語の概要は準備中です。原文の説明を表示しています。

benchflow-ai/skillsbench1,8502026年10月13日 更新

Security vulnerability assessment identifying OWASP risks, injection vectors, authentication issues, and data exposure with severity classification.

日本語の概要は準備中です。原文の説明を表示しています。

a5c-ai/babysitter1,8462026年9月17日 更新

Structured code quality assessment with Conventional Comments format, scaled review depth, and soft-gating verdicts preserving user autonomy.

日本語の概要は準備中です。原文の説明を表示しています。

a5c-ai/babysitter1,8462026年9月17日 更新

Multi-dimensional code assessment across security, quality, performance, and maintainability with confidence-gated reporting (>=80%) and Router Contract generation.

日本語の概要は準備中です。原文の説明を表示しています。

a5c-ai/babysitter1,8462026年9月17日 更新

Structured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.

日本語の概要は準備中です。原文の説明を表示しています。

a5c-ai/babysitter1,8462026年9月17日 更新