「goal」の検索結果

Set absolute LDL-C, non-HDL-C, and ApoB treatment goals, PLUS percent LDL-C reduction, for a primary-prevention patient on lipid-lowering therapy per the re-introduced treatment goals in the 2026 ACC/AHA multisociety dyslipidaemia guideline. Covers goals by PREVENT-ASCVD category (low / borderline / intermediate / high), by CAC score, in severe hypercholesterolaemia / FH, in diabetes with multiple ASCVD risk factors, and the ApoB targets once LDL-C and non-HDL-C goals are met. Use when a clinician asks what LDL goal to aim for, LDL target for intermediate risk, non-HDL goal, ApoB target, dual goals on statin, patient at goal or not, how low should LDL go, statin not enough what next. Grounded in the 2026 ACC/AHA multisociety dyslipidaemia guideline.

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Design, critique, set, create, activate, or run durable Codex goals for persistent or long-running objectives. Use when the user says "set a goal", "start a goal", "activate goal mode", "persistent goal", "long-running objective", "goal tree", or asks for a goal with verifiers, durable state, approval gates, completion proof, bounded delegation, or parent/child subagent goals.

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Turn a fuzzy intention into a /goal objective the Goal verifier can actually judge - one outcome, numbered binary "Done when" checks that leave evidence in the transcript, guardrails, a budget, and a block protocol. Use when the user wants to set or define a goal, asks whether a goal is good enough, or says "keep going until X". Usage - /goal-draft <what you want done>, or /goal-draft <existing goal> to tighten it. This skill only writes the objective; it never starts the work.

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Craft verifiable, tight goal prompts for AI coding agents (Claude Code /goal, Codex Automations, Pi), either from a standalone task interview or from an already-approved to-goal handoff. Use when the user says "给我一个 goal 提示词", "帮我写个 goal", "设置一个自动化任务", "我想让 agent 自动做 X", or asks to turn a task into a self-running loop. Ensures every goal has a checkable completion criterion so the agent knows when it's done.

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Use the moment a request is underspecified and you are about to act on an ASSUMED goal. Enumerate the candidate goals the request could mean, project the action or artifact each one implies, and check whether they diverge: if two or more plausible goals lead to materially different actions or artifacts, ask exactly ONE targeted clarifying question; otherwise proceed on the most-likely goal and state the assumption in one line. Clarification is an evidence-producing action, not a delay — but one question, never an interrogation. Distinct from gsd-spec-phase (GSD-phase-bound, emits a heavy SPEC.md) and intent-router (fetch strategy, not goal disambiguation). Backed by agent goal-state inference (arxiv 2606.16813v1). Triggers on acting under an assumed goal when the request admits more than one materially different reading.

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Drafts copy-paste-ready /goal commands for goal mode in Claude Code and Codex. Use when the user asks to create, write, rewrite, improve, compress, clean up, or prepare a goal prompt, goal condition, /goal command, goal-mode objective, or copy-ready long-running task objective.

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dontbesilent 目标清晰化。用维特根斯坦的语言哲学把模糊的目标审计成可检查的交付物。 触发方式：/dbs-goal、/目标、「帮我搞清楚目标」「我想做个人 IP」「我的目标是成为...」「我想变得更...」 Goal clarification using Wittgenstein's philosophy of language. Audits fuzzy goals into checkable deliverables. Trigger: /dbs-goal, "help me clarify my goal", "I want to become...", "my goal is..."

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Persistent project goal that survives across sessions and tools, with continuous-execution loop semantics. Use when someone asks to "set a goal", "what is my goal", "goal status", "keep working on X until done", "resume the goal", or wants work to continue across sessions until an objective is achieved. File-backed (.goal.md at project root); shared by every Coco-installed tool working in that repository.

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Guide a startup to set a single quantified traction goal and define the critical path of milestones to reach it. Use whenever a founder needs to prioritize activities, set growth goals, define milestones, decide what NOT to work on, plan quarterly/yearly execution, cascade goals to teams, escape the 'too many things to do' trap, or apply a binary on-path/off-path filter to proposed work. Activates on phrases like 'traction goal', 'critical path', 'what should we focus on', 'too many priorities', 'prioritization', 'milestones', 'quarterly planning', 'yearly goals', 'OKRs', 'where should I spend my time', 'what NOT to do', 'company planning', 'goal setting', 'DuckDuckGo', 'roadmap'.

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Guidance for helping users create and accomplish goals. Read it before you create a goal for the user when no goal-creation contract is in context, and whenever you help with an existing goal. A Goals-tab creation turn already carries that contract and does not need this skill.

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Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.

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把模糊诉求收敛成另一个 AI 能自主执行且可验收的 goal contract（scope / non-goals / success criteria / verification / stop conditions）。本 skill 只写目标契约，**绝不替用户执行任务**。触发硬条件：这份 goal 是要交给别人跑的——subagent、Codex、另一个 AI 会话或另一个人。用于写 goal、优化 goal、改 handoff prompt，或把"今天做完、尽量优化、帮我研究并执行"这类请求变成执行方不会乱猜、不会越界的任务契约。不适用于：自己团队的需求管理和版本拆解（用 issue-pool——它产出的是给人开工的 task，不是给 AI 的契约）、整页界面方案（用 page-solution-design）、PRD/验收标准/测试用例文档（用 prd-test-writer）、框架计划和版本路线（用 issue-pool）、以及用户其实是想让你**直接把这件事做了**的情况——那就直接做，不要走本 skill 把活变成一份文档。

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当用户要写出高质量 Goal Prompt，把模糊、战略性、多步骤、证据不足、持续/自动化或容易跑偏的请求整理成可执行、可验证、可暂停的目标契约时使用。适用于写 goal、优化任务提示词、明确 done/success criteria、deep research 后定战略、大改前 inventory、修复跑偏计划、识别可委托的重复 workflow、为 Codex 或 Claude Code 准备执行任务；默认一次性交付只生成 Goal Prompt，只有存在真实后续迭代需求时才追加 Loop Prompt，不执行 goal 或 loop，也不创建自动化。

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Guidance for helping users create and accomplish goals. Read it before you create a goal for the user when no goal-creation contract is in context, and whenever you help with an existing goal. A Goals-tab creation turn already carries that contract and does not need this skill.

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Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed agent", "run this on a schedule", "grade my agent against a rubric", "set up a nightly worker". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CMAs).

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Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/. Use whenever the user mentions a goal, objective, target, milestone, or asks to track progress on something measurable. ALSO use when the user says "task", "todo", "work item", "remind me to", "fix X", or any actionable work item — the goal system replaced the legacy `hivemind tasks` CLI and now covers both objectives and tasks.

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Use when the user explicitly sets an Aegis goal with /aegis-goal, Aegis goal:, or asks to define goal, success evidence, stop condition, or task boundaries before work.

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Run a large, multi-session goal (e.g. shipping a whole side product) through the full V-model closed loop, one phase at a time, with cross-session state and a final north-star acceptance gate. Ultragoals never downgrade the lane: every phase runs CP-1→CP-6 with adversarial verification. Opt-in: invoke with /ultragoal or by calling something a long-running goal. Ordinary work does not run this.

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Grounded in first principles, rigorously examine and refine a user's plan, task, decision, goal, strategy, proposal, or idea through structured, progressively deeper questioning, in order to bridge the gap between the User and the Agent. Use when the user explicitly requests grilling, challenge, pressure-testing, cross-examination, red-team review, pre-mortem analysis, or a decision audit. The goal is to uncover unclear objectives, hidden assumptions, contradictions, weak evidence, missing information, overlooked constraints, dependencies, risks, trade-offs, failure modes, and misalignment between intended outcomes and likely real-world results. Begin by establishing a shared understanding of the user's actual intent, goals, constraints, and success criteria. Ask focused, high-leverage questions rather than broad or repetitive ones. Adapt each question based on previous answers, probing deeper where uncertainty, unsupported assumptions, or strategic weaknesses remain. Regularly summarize the current understanding of the user's intent and position to confirm alignment, expose misunderstandings, and refine the problem or goal definition. Distinguish facts, assumptions, hypotheses, and unknowns. Challenge reasoning rigorously while remaining constructive, respectful, and solution-oriented. Continue until the reasoning is internally coherent, evidence-aware, constraint-conscious, risk-assessed, and translated into a clearer, more actionable goal, decision, or plan. Ultimately, achieving the super-alignment.

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Financial goal planner. Takes any goal (house down payment, college fund, wedding, sabbatical, business launch, car, vacation) and builds the required savings amount, monthly contribution, timeline, investment vehicle recommendation, milestone checkpoints, and adjustment scenarios. Supports multiple simultaneous goals with prioritization logic. Produces FINANCE-GOALS.md.

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Run an explicit end-to-end goal loop with frozen Scope/criteria, worker delegation, external verification, evaluator review, and bounded retries. Use when the user asks for 'goal-loop', 'ゴールまで回す', '必ずやり遂げる', 'loop until done', 'until it actually works', or an orchestrator + evaluator loop. Do not use for ordinary planning, casual advice, reviews, or small single-file fixes.

プロジェクトのゴール台帳（registry/goals/<owner>/<repo>.md）を人間と対話して新規作成・改訂する。 README と open Issue からゴール候補を推定して提示し、「何を目指すか」「何が起きていたら未達か」を 短く質問して条項を固め、書式検証（tools/work_discovery_goals.py validate）を通してから保存する。 「ゴール台帳を書きたい」「ゴールを設定して」「ゴール未設定と出た」「台帳エラーを直して」 「このプロジェクトの目標を決めたい」等や、/work-discovery の「ゴール未設定」「ゴール台帳エラー」案内を 受けて窓口が起動する。候補の提示そのものは /work-discovery の役目で本スキルではない。

Complete OKR & Strategy Execution system — from company vision to weekly execution. Covers goal hierarchy, OKR writing methodology, scoring rubrics, alignment cascading, KPI dashboards, review cadences, team accountability, and quarterly planning rituals. Use when setting goals, running planning cycles, tracking OKRs, building KPI dashboards, running retrospectives, or aligning team work to strategy. Trigger on: "OKR", "objectives", "key results", "goal setting", "quarterly planning", "KPIs", "strategy execution", "annual planning", "team goals", "alignment", "review cadence", "what should we focus on", "prioritize", "goal tracking", "north star metric".

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Durable multi-goal workflow that persists plan/ledger artifacts under .omc/ultragoal and prints Claude /goal handoff text for the active session

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。