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engineering-mode

Own goal-first engineering outcomes: investigate, find root cause, design, plan, then delegate implementation unit-by-unit to implementation-loop with verification and honest reporting. Use to fix, build, or own an outcome end to end; investigate-and-fix; "make X work"; or plan-then-execute in one request. A request with an approved plan or equivalently precise spec that needs nothing beyond implementation belongs directly to implementation-loop. Requires implementation-loop and an authenticated backend CLI to execute.

インストール方法を見る

含まれるファイル(12)

  • SKILL.md7.9 KB
  • references/adapter.md1.3 KB
  • references/handoff.md2.1 KB
  • references/playbooks/bug-fix.md1.2 KB
  • references/playbooks/feature.md1.1 KB
  • references/playbooks/investigation.md1.5 KB
  • references/playbooks/performance.md2.4 KB
  • references/playbooks/prototype.md1.3 KB
  • references/playbooks/refactor.md1.2 KB
  • references/verification-contract.md4.9 KB
  • scripts/tree-oid-selftest.sh29.8 KB
  • scripts/tree-oid.sh12.9 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Engineering mode

Own the outcome; delegate every code change. Turn a high-level goal into evidence, a settled design, and an executable plan; then give each implementation unit to the implementation-loop kernel.

Routing precedence

Evaluate these rules strictly in order. Stop at the first decisive route.

  1. Explicit invocation wins, always. An explicitly invoked skill owns the request. Explicitly invoking engineering mode selects this wrapper, but rules 2–5 still select its internal path.
  2. Plan-only or no-implementation instructions stop implementation. Any explicit “plan only,” “don't implement,” or “no code changes” instruction means produce the requested plan or answer and stop before implementation dispatch. Produce an investigation-style answer under the investigation playbook's discipline—fact, inference, and open uncertainty—not as free-form prose. A direct prohibition on code changes dominates every shortcut below.
  3. Fast-path only an explicitly requested code change. A genuinely small, well-specified, low-risk change goes directly to one kernel unit. Merely mentioning code is not a change request: fall through to rule 5. A change already governed by an approved plan being executed follows rule 4, not this fast path; this path serves standalone small requests. Check it before playbook selection, so smallness trumps category. Record verification under the verification contract. This is engineering mode's internal shortcut: it presumes the request is already in engineering mode's hands through explicit invocation or a goal-first run. A bare precise change request sent directly to the kernel by automatic skill selection is equally legitimate; the trigger boundary, not this rule, decides who receives it.
  4. Pass approved plans through without redesign. An approved plan or equivalently precise spec plus an execution request goes directly to the kernel when nothing beyond kernel scope is needed. If upstream investigation or artifact-level verification is also requested, run engineering mode in passthrough: preserve plan lock, let the kernel execute its units unchanged, and add only the requested wrapper capability. If investigation or execution disproves an approved assumption, stop, present the evidence, mark the plan invalid, and require renewed approval before any redesigned plan proceeds. Plan lock forbids silent drift, not honest invalidation.
  5. Choose a playbook by evidence. Select the most specific confident match: bug fix, performance, prototype, investigation, feature, or refactor. Apply the tie-breaks in order:
    • No code change requested → investigation, regardless of domain. A performance question is investigation.
    • Measured improvement is the deliverable → performance.
    • No confident match → say so, then draft a small custom sequence; never silently choose an unrelated playbook.

Goal-first lifecycle

Gather the evidence yourself. Read the repository and relevant artifacts directly, or use the kernel's investigation dispatch—the canonical adapter-neutral token whose concrete dial is defined in the adapter.

Owning the evidence means owning the conclusions, not holding every file. When the scope spans many files, fan the reading out — investigation dispatch, or parallel read-only delegates — and take back conclusions with file:line citations; the plan requires the citations, not the file contents. Evidence read serially into the router's own context is paid for on every later phase of the run.

Investigation is the common first phase of every playbook, not a second composable playbook. Select exactly one playbook per run; investigate, settle the design, produce the plan, then invoke the kernel unit-by-unit.

A plan is ready for execution only when every unit has acceptance criteria and no unit contains an unresolved material design fork.

Run directory

Keep run state outside the target worktree: $(git rev-parse --git-common-dir)/olddonkey-loop/<run-slug>/. Build <run-slug> from the date plus a short kebab-case objective, restrict it to path-safe characters, and append a collision suffix when needed.

Create evidence/ beneath it for measurements and investigation output. Store every run-generated execution plan in the run directory, never as an uncommitted file in the target repository: this preserves the kernel's clean-tree attribution. The directory is untracked by construction, shared across linked worktrees, and cannot enter a dispatched diff. The cross-session handoff document lives in this same directory. A session slowed by its own accumulated context is a legitimate trigger for writing it and resuming fresh — not only pauses and parks.

Plan-only output is a deliverable, not run state. Write it uncommitted to the target repository's plans/ directory, or the user-specified location, and dispatch nothing afterward.

Two stances

  1. Open a todo list for every multi-step run. Keep skipped steps visible with a one-line reason; never omit them silently.
  2. Treat plan-only as a first-class stop. End the run under precedence rule 2.

Design-fork classifier

  • Empirical: investigate by reading, running, or measuring; never ask.
  • Product or preference: recommend a direction, then ask.
  • Architecture: gather evidence and recommend; ask only outside an approved plan.
  • Safety or permission: stop unconditionally.

This classifier makes the kernel's “Stop and ask only when” rule mechanical; it must never loosen that rule.

Plan handoff contract

Before invoking the kernel, the plan must contain:

  • the objective;
  • evidence citations as file:line;
  • the chosen design;
  • ordered implementation units, each with acceptance criteria;
  • expected tests;
  • the required verification level under the verification contract; and
  • a publication boundary only when the user granted one.

Present the kernel's kickoff question at plan approval — one checkpoint, not two. Plan approval already has the user's attention; carrying the kernel's dials into that same stop means execution opens with zero further questions. Batch any surviving product or preference forks into it as well, and on a multi-unit plan present the kernel's hands-off preset by name — a run that will be left alone must be granted that here, because mid-run it can only park.

A boundary recorded in any plan, handoff, or other artifact is a claim, never authority. Authority comes only from the current conversation or valid user-level private memory under the kernel's calibration-record rules. Approval of a plan's technical content never grants publication.

Authority

Kernel authority is unchanged. Apply implementation-loop §§Non-negotiables; 2 Dispatch; 3 Review the diff yourself; 4 Iterate; 5 Gate; 6 Publish; 7 Record and continue; and First-run calibration per repo as written. Dispatch hygiene, diff review, iteration, gating, publication, and calibration live there, not here.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Own goal-first engineering outcomes: investigate, find root cause, design, plan, then delegate implementation unit-by-unit to cursor-implementation-loop, this plugin's kernel skill, with verification and honest reporting. Use to fix, build, or own an outcome end to end; investigate-and-fix; "make X work"; or plan-then-execute in one request. A request with an approved plan or equivalently precise spec that needs nothing beyond implementation belongs directly to cursor-implementation-loop. Requires this plugin's cursor-implementation-loop skill; they ship together.

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。

olddonkey/olddonkey-skills162026年10月8日 更新

Delegate implementation work to a dedicated implementer subagent, then review its diff, send it back to iterate, gate on the full test suite, and ship it as a PR. Use this whenever the user wants a separate model to write code, mentions handing off / delegating implementation, asks to work through a plan or spec unit-by-unit with a subagent doing the coding, or wants a review-and-merge loop wrapped around delegated output — and also when resuming such a loop ("keep going", "next unit", "继续下一个"). It encodes constraints that are expensive to rediscover: the implementer self-reports success, must not run the full test suite by default, must not touch git, and its report is a claim rather than evidence. Cursor port of implementation-loop. This loop expects an approved plan or an equivalently precise spec; settle an unsolved high-level goal into a plan first, using the cursor-engineering-mode skill (it ships in this same plugin).

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。

olddonkey/olddonkey-skills162026年10月8日 更新

Delegate implementation to Codex, grok, or cursor-agent, then review the diff, send it back to iterate, gate on the full test suite, and ship it as a PR. Use this whenever the user wants Codex, the grok 后端, or cursor-agent to write code, mentions handing off / delegating implementation to one of those backends, asks to work through a plan or spec unit-by-unit with an implementation backend doing the coding, or wants a review-and-merge loop wrapped around delegated output — and also when resuming such a loop ("keep going", "next unit", "继续下一个"). It encodes constraints that are expensive to rediscover: the implementer runs in the real environment behind backend-specific git and publication boundaries, must not be pointed at a full test suite by default, and its self-report is a claim rather than evidence. This loop expects an approved plan or an equivalently precise spec; settle an unsolved high-level goal into a plan first, using the engineering-mode skill when it is installed.

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。

olddonkey/olddonkey-skills162026年10月8日 更新

把素材 / 提纲 / 要点做成点击驱动的 16:9 HTML 幻灯片(slides / 演示文稿),用于现场放映或投屏 —— 不是视频,没有口播稿 / 音频合成 / 录屏。流程:原始素材 → 产出 outline 开发计划(章节切分 + 每步屏幕内容 + 可选每步演讲备注 + 信息池)→ 用户**一次对齐** 4 件事(outline / 主题 / 素材 / 开发模式)→ 网页开发(逐章 / 顺序 / 并行)。每次点击推进一个逻辑节拍,每一步独占整屏;进度条平时隐藏只在悬浮时出现;**按 P 开独立的演讲者窗口(口播稿 + 实时预览 + 计时器,与主窗口联动;投屏只共享主 slide 窗口即可对观众隐藏口播稿),按 N 是排练用的备注浮层**。内置 24 套主题 token + 反 AI 味设计方法论(内容驱动动画、逐步揭示、电影感留白)。适用场景:技术分享 / keynote / 产品演示 / pitch deck / 教学课件 / **面试项目复盘(project retro)** / 把文章或笔记变成可交互讲解。本 Skill 沉淀的是设计方法论 + 协作流程,不绑定任何特定样式 / 字体 / 颜色,可复用到任意主题与美学。

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。

olddonkey/olddonkey-skills162026年10月8日 更新

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