Run Aligned Delivery

Run Aligned Delivery

Drive a large, ambiguous initiative the way a great architect runs a project: front-load every decision that is genuinely the human's to make (so execution can be autonomous), turn the answers into a living spec corpus, then orchestrate parallel agents in disciplined waves. The signature is collaboration, not interrogation — you surface the real forks, scored and with their catch, the human chooses, then you build hard.

One skill, three phases. Run them in order; loop back when an answer changes the picture.

When to use / not use

Use when the work is big AND at least one of: ambiguous (many valid interpretations), high-stakes (modernization, rewrite, migration, data/auth), or multi-component (spans subsystems). Examples: "modernize this stack", "rewrite X in Y", "port this service", "migrate N call sites", "build this platform from scratch", "this gnarly bug spans three services".

Do NOT use for small, clear, single-file or single-function work — just implement it, or have one short design conversation first. If you can name the destination and the diff in one sentence, you do not need this skill. For chasing a single reproducible runtime bug, use a dedicated debugging methodology, not this.

Core principle

> The brief is the lever. Time spent surfacing the right forks — and scoring > the options so the human chooses well — buys autonomous, high-quality execution > later. Cheap-to-check unknowns you resolve yourself; user-only unknowns you ask, well.

The loop

digraph rad {
  "Frame + self-discover" [shape=box];
  "User-only unknowns remain?" [shape=diamond];
  "ALIGN: scored AskUserQuestion rounds" [shape=box];
  "Answer pivots the design?" [shape=diamond];
  "SPEC: living corpus (filename=state)" [shape=box];
  "ORCHESTRATE: waves + verify/commit barriers" [shape=box];
  "Wave verified?" [shape=diamond];
  "Reconcile / next wave or report" [shape=doublecircle];

  "Frame + self-discover" -> "User-only unknowns remain?";
  "User-only unknowns remain?" -> "ALIGN: scored AskUserQuestion rounds" [label="yes"];
  "User-only unknowns remain?" -> "SPEC: living corpus (filename=state)" [label="no"];
  "ALIGN: scored AskUserQuestion rounds" -> "Answer pivots the design?";
  "Answer pivots the design?" -> "Frame + self-discover" [label="yes: re-frame, research"];
  "Answer pivots the design?" -> "SPEC: living corpus (filename=state)" [label="no: locked"];
  "SPEC: living corpus (filename=state)" -> "ORCHESTRATE: waves + verify/commit barriers";
  "ORCHESTRATE: waves + verify/commit barriers" -> "Wave verified?";
  "Wave verified?" -> "ORCHESTRATE: waves + verify/commit barriers" [label="next wave"];
  "Wave verified?" -> "Reconcile / next wave or report" [label="done/blocked"];
}

---

Phase 0 — Frame and self-discover (before asking anything)

You do not get to ask the human a question you could have answered yourself.

1. State your framing + assumptions out loud, and invite correction: "Here's

how I read this; here's what I'm assuming — correct me or I proceed." Surfacing a wrong assumption now is cheaper than building on it.

1. Scan for contradictions first. Mutually exclusive goals ("offline-first" +

"always-current"), unacknowledged trade-offs ("simple" + "handles every edge case"). Reconcile these before any detailed question — disambiguating the wrong foundation is wasted effort.

1. Do the homework an agent can do: read the code, run searches/researchers,

map the subsystems. If a question is answerable from the repo, the docs, or a quick research pass, answer it — don't spend a question on it.

1. Decompose if it's really several initiatives. If the ask is N independent

subsystems, say so and sequence them; this skill drives one coherent initiative at a time.

What's left — the genuine user-only unknowns (a preference, a risk tolerance, a credential/constraint, an irreversible or outward-facing call) — is what Phase 1 asks.

Phase 1 — ALIGN: scored, multi-round questioning (the heart)

Use your environment's structured multi-choice question tool (e.g. AskUserQuestion) to surface the real forks. This is NOT one polite clarifying question; it is repeated batches of carefully designed, scored, categorized questions that converge the design.

The full method (scoring rubric, recommendation-first, the "what's the catch", categorization, batching, adaptation) is in [references/question-design.md](references/question-design.md) — read it before your first round. The essentials:

• Recommendation first, scored options. Each option carries a /100 score and a

one-line trade-off; lead with the recommended option marked "(Recommended)". The human should choose in seconds and see why.

• Name the catch. Every option states its downside/risk, not just its upside.

The score is honest, not a sales pitch.

• Categorize the decision space (runtime, data, security, deploy, testing,

sequencing, …) so the human sees the shape — up to ~20 categories for a big initiative.

• Batch within the tool's per-card limits (AskUserQuestion: up to 4

questions/card, up to 4 options each — surface the top-scored options; "Other" covers the rest). Group a card by theme.

• Adaptation budget: up to ~10 rounds (ceiling, not a target — many initiatives

need fewer). Treat 10 as the default adaptation budget: re-plan the remaining questions after each batch based on the answers.

• Adaptive re-planning is mandatory. When an answer changes the architecture (a

pivot), loop back to Phase 0 — re-frame, research the new constraint, re-score the downstream questions before continuing. A locked early answer can invalidate a later question; don't ask it stale.

• Ask only user-only unknowns. If you can decide it from evidence or a sensible

default, decide it, state it, and move on (note auto-decided low-stakes items rather than spending a card on them).

Gate: the decisions are locked — every load-bearing fork has an answer. Do not start the spec corpus or write code before this gate. Carry the answers verbatim into Phase 2.

Phase 2 — SPEC: a living corpus where the filename is the state

Convert the locked decisions into a navigable spec corpus that another agent (or a future you) can execute with zero prior context — and that doubles as the project's to-do board.

Filename-prefix-as-state (the distinctive convention — lighter than status-fields-in-content; scannable with ls; transitioned with git mv):

| Prefix | Meaning | |---|---| | 00_, 01_, … | Stable spine: the decision log, architecture, data model, contracts. Not state-tracked. | | TODO_ | Specced, not started. | | WIP_ | In progress. | | DONE_ | Implemented and verified. | | BLOCKED_ | Needs an operator resource or an unresolved decision (say why at the top). |

Build, at minimum:

• 00_DECISIONS_LOCKED.md — every Phase-1 answer, grouped by category, each

with the chosen option + why. This is the contract the orchestration obeys.

• A short architecture / data-model / interface-contract spine (the

cross-cutting shapes every later agent must honor).

• One spec per unit of work (per component / per provider / per migration site),

each: pointing at the source-of-truth code as ground truth (the existing or legacy implementation to reproduce — link exact paths), restating the applicable locked decisions, listing the contract + edge cases + a porting/build checklist.

Rules: keep each spec a living to-do (rename the prefix as state changes); reference, don't duplicate; persistent files are your working memory and survive context compaction (re-read them after a compaction). Don't pad to a file count — a navigable corpus, not dozens of thin files.

Gate: the corpus is sufficient for a zero-context agent and every spec links real ground-truth. Confirm sufficiency before orchestrating.

Phase 3 — ORCHESTRATE: dependency-ordered waves with verify-and-commit barriers

Drive execution with parallel subagents — deterministically if your environment has a workflow primitive (e.g. the Workflow tool; otherwise parallel subagent/Task dispatch). Treat the spec corpus as the source of truth and yourself as the conductor who never writes the code.

Hard-won discipline (this is where naive parallelism fails):

• Waves, not a free-for-all. Each wave contains only **file-disjoint, genuinely

independent units. Put a barrier** between waves where the next depends on the prior. Order waves by dependency (foundation → shared utils → leaf units → integration).

• Cap concurrency to respect rate limits. Keep each parallel wave at or under the

agreed concurrency (e.g. ≤5); sequence the rest. Queue accordingly.

• Pin the model for every agent when the human asks for a specific tier.
• Verify-and-commit at each barrier, with a single agent, alone. A lone verifier

runs the gate (typecheck + tests), fixes drift, and commits the wave — so no two agents ever race the git index or the lockfile. Build agents do NOT commit and do NOT run installs concurrently; one scaffold/verify agent owns installs and commits.

• Mission-grade prompts. Each subagent starts at zero context: give it role,

dense context, the exact spec file as its blueprint, hard constraints, a binary/specific/verifiable definition-of-done, evidence-based verification, a failure protocol, and a handback format. Set ceilings (upper bounds with a release valve), never floors. Define the destination; leave the path open.

• Reconcile after every wave — agents make systematic errors. Read the handback,

re-run the full gate yourself, spot-check; a subagent's "done" is a claim, not verification.

• Flag what you cannot verify. If a step needs an operator resource (a live

credential, a proxy, production access), reach the highest rung you can (static/unit/integration) and hand off the genuinely-unverifiable slice with the exact command to run.

As units land verified, git mv their specs WIP_/TODO_ → DONE_. The corpus stays the live board.

---

Decision rules

• If you can answer a question from the code, docs, or a quick research pass,

decide it — don't spend a question card. Ask only user-only unknowns.

• If two stated goals contradict, resolve the contradiction before any technical question.
• If an answer pivots the architecture, stop and re-frame + re-research before

continuing the question rounds — don't ask downstream questions against a stale design.

• If a wave's units share files or state, they are not the same wave — serialize

or re-cut the boundaries.

• If you cannot make a verification claim with fresh evidence, don't make it —

say which rung you reached.

• If the initiative is actually several initiatives, decompose and sequence; run

this loop on one at a time.

• Prefer the smallest corpus and the fewest agents that do the job. Reject machinery

that doesn't improve the outcome.

What to show the user (output contract)

1. Your framing + assumptions + any contradictions found (Phase 0).
2. The scored question rounds (Phase 1) — recommendation-first, options scored with their catch.
3. A short summary of locked decisions, then the spec corpus location + the filename-state convention (Phase 2).
4. The wave plan (what runs in parallel, concurrency cap, barriers) before launching, then per-wave verified results (Phase 3).
5. Honest status: what's verified, what's BLOCKED_/operator-gated, what's next.

Guardrails

• Do not write code, scaffold, or dispatch build agents before the Phase-1 decisions

are locked and (for non-trivial work) a spec exists.

• Do not ask the human a question you could answer yourself; do not present an option

without its score and its catch.

• Do not let a parallel wave exceed the agreed concurrency, share files across agents,

or let build agents commit concurrently.

• Do not claim a wave is done without re-running the gate yourself.
• Do not pad the spec corpus with thin files or invent a deadline/timeline the work didn't specify.

Reference routing

| File | Read when | |---|---| | [references/question-design.md](references/question-design.md) | Designing the Phase-1 question rounds — the scoring rubric, recommendation-first/catch format, categorization, batching within tool limits, the ~10-round adaptation budget, and when to ask vs decide. |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: yigitkonur
• Source: yigitkonur/skills-by-yigitkonur
• License: MIT

Install and usage instructions live in the source repository linked above.