「scope」の検索結果

Coordinate multiple agents on large-scope tasks. Use whenever the work is substantial; trivial tasks do not require this skill.

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。

Fix Monte Carlo project completion simulations that give identical dates for all sub-groups (milestones, priorities, epics). Use when: (1) All sub-group predictions converge to the same date despite different remaining counts, (2) Proportional throughput scaling produces flat/identical results, (3) Applying overall scope rate to individual sub-groups causes simulations to hit max_weeks cap and never converge, (4) Building project forecasting tools that predict completion for sub-groups of a larger backlog. Covers hypergeometric draw model for milestones and cumulative priority model for sequential priorities.

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。

Choose compatibility-aware scope for runtime and API changes in openai-guardrails-python. Use before initial implementation and each review-feedback batch to decide whether to patch, reset the design, preserve compatibility, or reject unsupported cases.

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。

Show GRACE 4 project health across .grace context, graph, verification, active changes, scopes, and migration 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。

Create GRACE 4 worker and reviewer subagent presets that understand .grace artifacts, scopes, assertions, and verification evidence.

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。

Review GRACE 4 integrity across .grace artifacts, active changes, scopes, assertions, code anchors, and verification evidence.

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。

Refactor GRACE 4 governed code while keeping .grace graph, verification, change scopes, and file-local anchors synchronized.

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。

Read an approved GRACE 4 GraceChangeSpec and optional design context, then create a GraceChangePlan with assertions, scopes, tasks, and verification gates.

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。

Analyze formal verification artifacts (Isabelle, Coq, Dafny, etc.) and produce structured reports identifying the precise boundary between verified, assumed, and unverified components. Use when assessing verification coverage, understanding trust boundaries, auditing formal proofs, or documenting verification scope. Reports explicitly list verified code, assumptions, axioms, trusted computing base, and unverified components. Conservative and explicit about verification status without attempting to repair or mask gaps.

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。

Detects and analyzes ambiguous language in software requirements and user stories. Use when reviewing requirements documents, user stories, specifications, or any software requirement text to identify vague quantifiers, unclear scope, undefined terms, missing edge cases, subjective language, and incomplete specifications. Provides detailed analysis with clarifying questions and suggested improvements.

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。

Expert SurrealDB 3 architect and developer skill (tracks v3.1.4+). SurrealQL mastery, multi-model data modeling (document, graph, vector, time-series, geospatial), schema design, security, deployment, performance tuning, SDK integration (JS, Python, Go, Rust, Java, .NET, C, PHP, Swift, Kotlin, Ruby), Surrealism WASM extensions, SurrealML scope coverage (preview), built-in MCP (v3.1+) and standalone SurrealMCP, LangChain Python integration, editor tooling (LSP v0.1.6, tree-sitter, CodeMirror v1.0.6, VS Code/JetBrains/Neovim/Zed), and ecosystem integrations (Surrealist v3.9, Surreal-Sync, SurrealFS, SurrealKit v0.7, n8n, Agent Skills, setup-surreal). Universal skill for 30+ AI agents.

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。

Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.

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。

GitLab CLI for managing issues, merge requests, CI/CD pipelines, and repositories. Use when: (1) Creating, reviewing, or merging MRs, (2) Managing GitLab issues, (3) Monitoring or triggering CI/CD pipelines, (4) Working with self-hosted GitLab instances, (5) Automating GitLab workflows from the command line. Requires GITLAB_TOKEN (recommend minimal scopes). The `glab api` command enables arbitrary API calls - use read-only tokens when possible.

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。

Repo-local workflow skill for large coding tasks. Initializes .agent/tasks/TASK_ID artifacts, installs project-scoped Codex and Claude subagents, updates AGENTS.md plus the repo's Claude guide file with the workflow, and runs a spec-freeze → build → evidence → verify → fix loop with fresh-session verification.

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。

Independently verify a factory pull request, including fail-closed gates, negative test proof, scope, and load-bearing review.

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。

Verify an open factory PR before human review - re-runs gates, checks the test proves the fix, checks scope and test tampering. Use when reviewing a factory PR, running the PR review routine, or asked to independently check a change.

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。

Turn a ready-to-spec queue item into an approved plan through explicit human gates. Use when an item needs scope decided before code exists, when planning a feature, or before starting a migration. Runs interactively - not for unattended routines.

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。

Source-backed research workflow for AI agents: scope, sources, claims, and task-appropriate Lite or Full checks.

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。

Source-backed research for AI agents: scope, sources, claims, and task-appropriate Lite or Full 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。

Use when reviewing a bundle-plugin for structural issues, version drift, skill quality, workflow integration, or security risks — before releasing, after changes, or after adding skills. Auto-detects scope (full project vs skill vs workflow)

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。

Systematic step-by-step reasoning with revision and branching. Use for complex problems, multi-stage analysis, design planning, problem decomposition, or encountering unclear scope, alternative approaches needed, revision requirements.

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。

OAuth 2.0 and OpenID Connect authentication with secure flows. Use for third-party integrations, SSO systems, token-based API access, or encountering authorization code flow, PKCE, token refresh, scope management errors.

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。

Сводит статус итерации, оценивает прогресс milestones, фиксирует изменения приоритетов, отслеживает зависимости и выдаёт roadmap в формате Now/Next/Later с атрибуцией задержек по 5 причинам, health score и фреймворком обрезки scope при нехватке ресурсов. User-invoked only — do NOT auto-trigger. Triggers on /pm-roadmap, "обнови roadmap", "статус спринта", "анализ задержек", "update roadmap", "sprint status", "milestone progress", "delay 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。

Guide a user from an unclear idea to an actionable plan through the agent harness's native ask tool and clickable choices. Use when the user wants a guided requirements interview, step-by-step questions, help deciding what to build, or a button-led path from goals to scope, solution, and technology choices. Do not turn an ordinary implementation request or a single clarification into an interview.

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。