「execution」の検索結果

Use medical cv resume builder for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

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。

Use conference poster pitch for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

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。

Use market access value for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

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。

Use figure reference checker for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

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。

Use medication adherence message gen for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

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。

Use grant budget justification for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

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。

Plans confounder control, variable adjustment logic, and bias mitigation strategies at the protocol stage for clinical, epidemiologic, translational, observational, and biomarker studies. Always use this skill when a user needs to identify major confounders, decide which variables should or should not be adjusted for, compare matching/stratification/weighting approaches, anticipate selection or measurement bias, or pressure-test a study design before execution. Focus on bias sensing, causal structure awareness, variable-role classification, and critical design review rather than generic statistical 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。

Designs a realistic, execution-aware biomedical study version under explicit constraints of samples, time, budget, data access, lab capacity, team skill, and validation resources. Always use this skill when the user has a real study idea, a candidate route, or a partially framed project but cannot assume ideal conditions. If critical feasibility inputs are missing, first clarify what resources are currently available, what resources may be obtainable, and what resources are realistically unavailable. Do not invent access, capabilities, collaborations, or validation resources. Focus first on feasibility-constrained study framing, route narrowing, dependency control, and minimum viable study design.

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。

Use anki-card-creator for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries for study-card 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。

A comprehensive auditor for any agent skill — including Manus, OpenClaw/ClawHub, Claude, LobeHub, or custom SKILL.md-based skills. Use this skill whenever a user wants to evaluate, audit, review, score, or quality-check an agent skill before publishing, updating, or deploying. Covers two hard veto gates (structural redlines + research integrity redlines), static quality scoring across 25 criteria (ISO 25010 + OpenSSF + Agent), dynamic test input generation, multi-mode execution testing, multi-layer output evaluation with five specialized category rubrics (Evidence Insight / Protocol Design / Data Analysis / Academic Writing / Other), a Research Veto that applies to all four research categories, human eval viewer generation, actionable P0/P1/P2 optimization recommendations, and automatic skill improvement that outputs a polished, production-ready SKILL.md. Also use whenever a user says "audit my skill", "evaluate my skill", "improve my skill", or wants a corrected version after evaluation.

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。

Apply during planned rewrites and migrations with explicit phase boundaries. Converge on the target architecture; don't preserve smooth intermediate states with throwaway compatibility code.

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。

Use when evaluating Jim Simons / Renaissance-style quantitative strategies: many weak signals, statistical validation, signal decay, portfolio construction, execution cost, and model risk.

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Use this skill to migrate identified PostgreSQL tables to Timescale/TimescaleDB hypertables with optimal configuration and validation. **Trigger when user asks to:** - Migrate or convert PostgreSQL tables to hypertables - Execute hypertable migration with minimal downtime - Plan blue-green migration for large tables - Validate hypertable migration success - Configure compression after migration **Prerequisites:** Tables already identified as candidates (use find-hypertable-candidates first if needed) **Keywords:** migrate to hypertable, convert table, Timescale, TimescaleDB, blue-green migration, in-place conversion, create_hypertable, migration validation, compression setup Step-by-step migration planning including: partition column selection, chunk interval calculation, PK/constraint handling, migration execution (in-place vs blue-green), and performance validation queries.

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。

Transform sequential Python code into parallel/concurrent implementations. Use when asked to parallelize Python code, improve code performance through concurrency, convert loops to parallel execution, or identify parallelization opportunities. Handles CPU-bound (multiprocessing), I/O-bound (asyncio, threading), and data-parallel (vectorization) scenarios.

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。

Optimize workload distribution across workers, processes, or nodes for efficient parallel execution. Use when asked to balance work distribution, improve parallel efficiency, reduce stragglers, implement load balancing, or optimize task scheduling. Covers static/dynamic partitioning, work stealing, and adaptive load balancing strategies.

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。

Use when configuring Maven plugins, setting up common plugins like compiler, surefire, jar, or creating custom plugin executions.

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。

Generate visual representations of algorithm execution

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。

Execute development tasks to build features, producing code, tests, and configuration artifacts that satisfy specification requirements and comply with constitution standards.

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。

Multi-agent swarm formation and coordinated execution with topology-aware agent deployment, consensus protocols, and anti-drift enforcement.

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。

AIDefence security layer with prompt injection blocking, input validation, sandboxed execution, output sanitization, and STRIDE threat modeling.

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。

Execute work units through the rigorous 4-phase Metaswarm cycle (Implement -> Validate -> Adversarial Review -> Commit) with independent quality gate enforcement.

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。

Disciplined execution of approved plans with step-by-step verification, phase checkpoints, failure investigation, and mandatory code/security reviews.

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。

PM2 process management, backend/frontend cascade execution, parallel worktree builds, and cross-service integration testing.

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。

Session-scoped hook lifecycle management with enable/disable/status controls, execution profiling, and color-coded performance alerts.

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。