「goal」の検索結果

Turn a vague task into a testable definition of done and generate an executable goal-test script for it, optionally with a bounded retry loop around a headless agent. Use when the user wants to run an agent in a loop, asks how to know when an agent task is finished, or says a goal like "improve X" needs to become checkable. Do NOT use for building eval suites over many cases — that is evals-bootstrap.

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。

Lock one primary goal per brand and judge ideas or drafts against it. "does this fit our goal"

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。

Design a structured goal-setting protocol using SMART or implementation-intention frameworks for students. Use when launching units, projects, or developing student self-direction habits.

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。

Zero-config goal-to-tasks engine. Takes any goal (software, pentest, business, learning), runs adaptive discovery, generates a validated spec, parses into TaskMaster tasks, creates an implementation plan, and executes with built-in CDD verification. Use when user says "PRD", "product requirements", "I want to build", or any goal-driven phrase.

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。

Autonomous goal execution — give a goal, get a plan, confirm, execute, report. You steer, Claude drives.

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。

Draft and explain persistent goal-loop prompts for long-running agent work with clear stop conditions.

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 approved planning evidence or partially completed work into a portable, verifiable execution goal. Use when work needs to cross sessions, people, agents, or harnesses; no other skill or tracker setup is required.

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。

Goal-driven E2E testing where a browser agent (Playwright MCP / computer-use) reads a natural-language goal and explores the app via the accessibility tree to assert outcomes — no pre-written script. Covers when intent-driven beats scripted, making agent runs deterministic (pinned model, temperature 0, seeded data, bounded steps, explicit success assertion, snapshot-not-pixel), cost/latency control, the accessibility-tree-first interaction model, CI gating, and graduating a stable run into a scripted Playwright test. Use when: "agentic browser test," "goal-driven browser test," "let an agent explore the app," "natural-language E2E," "browser agent smoke test," "Playwright MCP test." Not for: Writing/maintaining deterministic scripted Playwright tests — that is playwright-automation. Testing your product's OWN LLM features — that is ai-system-testing. Related: playwright-automation, ai-system-testing, exploratory-testing, test-reliability, qa-project-context.

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。

Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% by step 10. Build for reliability first, autonomy second. 2025 lesson: The winners are constrained, domain-specific agents with clear boundaries, not "autonomous everything." Treat AI outputs as proposals, not truth. Use when "autonomous agent, autogpt, babyagi, self-prompting, goal decomposition, react pattern, agent loop, self-correcting agent, reflection agent, langgraph, agentic ai, agent planning, autonomous, agents, langgraph, react, planning, reflection, guardrails, reliability, checkpointing" mentioned.

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。

Design a structured goal-setting protocol using SMART or implementation-intention frameworks for students. Use when launching units, projects, or developing student self-direction habits.

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。

Works backward from the stated goal through its prerequisite chain — what must exist to reach the goal, then what each of those requires, back to the current state — classifying each prerequisite as AVAILABLE, DERIVABLE, or MISSING, and blocking planning until nothing is MISSING. Use before creating plans, delegating to agents, or defining acceptance criteria. Activates on specs, PRDs, tickets, RFCs, architecture designs, and multi-step engineering tasks. Always pass `#N` or an inline goal — invoking with no argument and no inline context returns BLOCKED. Integrates with CoVe-style planning pipelines.

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 to run a dynamic, goal-driven workflow — orchestrate a multi-step goal by composing skills, tools, and MCPs, with a quality gate and verification at each step. Trigger on "/workflow", "run the <name> workflow", "orchestrate X", or a multi-step recurring goal ("draft the investor update", "give me my morning brief"). Follows references/sops/dynamic-workflows.md and the wf-*.md cards. Respects the autonomy/cadence gate (auto on reversible/internal, draft-then-approve on external/regulated).

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。

This skill should be used to spawn specialized OpenAI Codex CLI subagents for code review, debugging, architecture analysis, security audits, refactoring, documentation, comparative evidence adjudication, and autonomous /goal runs. It adds each persona through process-local developer instructions while preserving the project's AGENTS.md chain, including during parallel launches. Supports GPT-6-Astra across low, medium, high, xhigh, max, and ultra reasoning with default or priority service tiers, plus GPT-5.6 and GPT-5.5 models. Triggers on 'delegate to Codex', 'Codex Astra', 'Astra subagent', 'Codex subagent', 'code review agent', 'security audit', 'refactor with Codex', 'goal run', 'autonomous goal', 'have Codex weigh this'.

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。

Personal GTD (Getting Things Done) coach that helps users achieve their annual goals. Use when users mention goals, plans, daily tasks, productivity, time management, task tracking, reviews, or need help breaking down objectives into actionable steps. Automatically remembers user's goals and progress across conversations. Supports multiple languages. 新手引导：输入 `/gtd 新手`、「这个怎么用」「第一次用」「能干嘛」时，走 SKILL.md 的〈新手上路〉，不要直接开始干活。

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。

设计 Loop 的 Goal 和 Verification 环节: 将模糊目标转化为可验证的停止条件。 当用户发现 loop 产出质量不稳定、循环无法停止、或"不知道什么时候算做完"时使用。 不适用于: 目标已经非常清晰可量的任务、或非循环场景。 关键 trigger: "loop 停不下来"、"产出质量不稳定"、"怎么定义完成"、"goal 怎么写"。

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。

Agent skill for goal-planner - invoke with $agent-goal-planner

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。

Agent skill for code-goal-planner - invoke with $agent-code-goal-planner

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 setting up, configuring, or troubleshooting Marketing Cloud Journey Builder — including entry sources, activities, decision splits, wait activities, goals, exit criteria, journey versions, test mode, or journey analytics. Triggers: 'journey builder setup', 'entry source configuration', 'decision split not routing', 'exit criteria not removing contacts', 'goal not tracking conversion', 'journey version publishing', 'journey re-entry settings', 'wait activity date field'. NOT for coding a custom activity or entry source — use apex/marketing-cloud-custom-activities. NOT for business units and sender profiles — use admin/marketing-cloud-engagement-setup.

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。

Orchestrate work as a cyclic directed graph of subagent-executed nodes with transition criteria on edges, budgeted cycles, and per-node gates (runtime verification, metric, or artifact). Use when the user says "workgraph", "run this as a graph", "graph this work", or when a goal has parallel branches, feedback loops, or mixed gate types that a linear loop cannot express. Every node is sized to a 64k context budget, so small goals run as a two-node do/verify graph and large goals scale out without caps. For clock-driven or metric-driven single loops, timeboxed-iterating and autoresearch remain lighter.

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。

Autonomous goal loop — give it ONE goal plus how to verify it, the agent runs check→fix→check itself and comes back only with the finished result (code with audit, research with fact-check, content with critique, audit/backtest). Self-verification instead of constant supervision, with hard safety guards. Vary the loop with a verification rubric designed before it runs. Triggers — "work autonomously to the result", "don't come back until it's done", "run the loop yourself", "drive it to done".

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 goal-to-execution workflow for any user task. Parses objective, asks only for materially missing requirements via ambiguity-gate, inspects repo via idea, plans via sdd-dev or deep-plan, executes safely under project conventions, verifies completion per R020, and reports changed files with evidence. Use when user invokes /goal <task>.

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。

Recommends continuous subcutaneous insulin infusion (CSII) over multiple daily injections (MDI) for adults with type 1 diabetes who have achieved their A1C goal but experience severe hypoglycemia or high glucose variability, provided the patient and caregivers are willing and able to use the device. Consider CSII when clinicians hear 'A1C is at goal but patient has severe lows or glucose swings' or think 'pump for hypoglycemia-prone controlled T1DM'.

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。

This skill defines the treatment goals for patients with overt Cushing's syndrome, focusing on normalizing cortisol levels or action to eliminate symptoms and treat comorbidities. Use when a clinician asks about treatment objectives for a newly diagnosed overt Cushing's syndrome patient; triggers include "overt CS," "treatment goals for overt Cushing's," and "normalize cortisol in overt CS."

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。

アウトラインのゴール（受け手に期待する行動・変化）を対話形式で設定しgoal.mdに保存する。完了後に自動でoutline-draftを起動する。