consulting-product-engine

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name: consulting-product-engine description: Engine B of the demand engine — turn shipped, user-facing product work (merged PRs / releases) into a staged idea bundle (article + LinkedIn post + email + image(s) + meta.yml, same shape as Engine A), grounded and cited to the PRs, never auto-sent. This is the build->content half of the flywheel (Engine A is calls->content). It rides the nightly pipeline: the extract half (PRs -> product-update signals) runs in ingestion, the draft half (signal -> gated bundle) runs in the content phase. Source = the public recoupable org, tokenless (B1 resolved). Use on "turn our shipped PRs into content", "announce what we shipped", "run the product engine".

Consulting Product Engine (Engine B — product → feature content)

Engine A turns calls/insights into thought leadership. Engine B turns shipped product work into demand. Every PR that ships a user-facing change is a signal (source.type: pr); this skill turns those signals into the feature-announcement formats Sid sent by hand to Recoup users in 2025 (library/email-templates/email-feature-announcement.md — 7 real, proven sends), now automated and staged for approval, never auto-sent.

Same idea-bundle shape and same approval queue as Engine A — a product update is just a bundle whose source is a PR/release instead of a call.

Status: 🟡 logic scaffolded; source connector ✅ built (integrations/github/_work/pull_prs.py, tokenless; B1 resolved — public recoupable org). Engine B rides the existing 3-phase pipeline: its extract half (pull → filter → cluster → cite → write product-update signals) runs in ingestion (phase 1); its draft half (signal → gated bundle) runs in the content phase (phase 3), where a fresh product-update jumps the queue. One sample bundle built + gated (content/03-drafts/2026-07-01-agent-sends-email). Design: docs/plans/2026-06-30-demand-engine-restructure-spec.md §"Engine B".

Prerequisite — the source connector (built; runs in ingestion)

The extract half runs inside consulting-nightly-ingestion (phase 1): reads merged PRs from the public recoupable org via integrations/github/_work/pull_prs.py (GitHub Search API, unauthenticated — no token; optional read-only GITHUB_TOKEN only for rate-limit headroom). GitHub owns truth; the repo keeps only the distilled product-update signals + a LAST_SYNCED. Watches the product org, not this consulting-os repo. See integrations/github/AGENTS.md (B1 resolved).

The flow (two halves, two phases)

Extract half — runs in INGESTION (phase 1); writes signals:

pull merged PRs since integrations/github/_work/LAST_SYNCED   (pull_prs.py — tokenless)
  → FILTER to user-facing changes   (drop refactors/chores/deps/tests/infra; keep feat(...))
  → CLUSTER related PRs into ONE feature   (5 PRs building one capability = one announcement, not five)
  → JUDGE "shippable to users" + write a cited "what shipped, for users" line   (traces to PR/commit)
  → write a `product-update` SIGNAL to signals/   (type: product-update, source.type: pr, locator: PR#/sha)

Draft half — runs in the CONTENT phase (phase 3); consumes a product-update signal:

pick a product-update signal   (fresh ones JUMP THE QUEUE — feature news is perishable)
  → fan the FULL bundle (same shape as Engine A):
       meta.yml · article.md (feature story + lesson) · linkedin.md · email.md (feature-announcement, deep-link CTA)
       · images/ (hero image1.png leads the email) · video/ (optional)
  → gate every text format (reviewer then editor), then stage in content/03-drafts/<date>-<feature-slug>/
  → STOP for Sid approval (never auto-send)

The hard part: PR → "user-facing feature" (do in order)

Most PRs are not announceable. The judgment, in order:

1. Filter out refactors, chores, dependency bumps, tests, infra, internal-only changes.
2. Cluster related PRs into one feature — don't announce the same capability five times.
3. Judge "shippable to users" — is it live / flag-on, and does it change what a user can do? Tie to release notes / tags when present.
4. Write one line: "what shipped, for users," cited to the PRs. Evidence discipline (root CLAUDE.md): the claim traces to the PR/commit (PR #, commit sha, or a verbatim title), never invented — same bar as Engine A's grounding. Build/commit activity ≠ adoption — announce what shipped, not usage you can't prove.

⟡ DECISION B2: the filter signal — a user-facing label we add in the product repo (cleanest) vs title/path heuristics vs only release tags.

Per-feature formats (reuse what exists)

• article.md — the pillar: the feature story + the portable lesson (blog-length, consulting-copy-writer social-article style). The post + email derive from it, same as Engine A. (The "agent sends email" sample is a good template: the 38%-empty war story → the fix → the general lesson.)
• linkedin.md (+ optional x.md) — build-in-public / demo post.
• email.md — the feature-announcement format (library/email-templates/email-feature-announcement.md): subject = the outcome ("It booked a guest in 5 minutes"), open with the new power, prove it (a live test / demo / 2-3 copy-paste prompts), one deep-link CTA into the product, founder sign-off. Strip em-dashes/hype per consulting-copy-writer.
• images/ — consulting-article-illustrator (gpt-image-2 via the Higgsfield MCP when unattended): a hero image1.png the email leads with and the article uses, plus inline figures as the article warrants.
• video/ — optional: consulting-hyperframes-video explainer/demo (or a provided screen capture).
• Edit gates — every audience-facing text format. Run consulting-copy-reviewer then consulting-copy-editor on each of article.md / linkedin.md / email.md (+ x.md if used), reviewer before editor. Use the right ICP per format: the Recoup customer for email.md; Sid's operator/builder ICP for article.md / linkedin.md / x.md. Record which gates ran in the bundle's gates: field. (Scored ≠ gated — the automated scorer is the floor; the reader/editor passes are the bar.)

Audience & dispatch (reuses the email engine)

• The feature-email is broadcast/nurture → routes via the existing matrix (email/AGENTS.md): product updates → customers + warm + (gated) targets; segments resolve via live Attio at dispatch.
• Dispatch rail = integrations/gmail/_work/create_draft.py (drafts only). Never auto-send.
• ⟡ DECISION B3: add feature-announcement as email-atomizer format #12, or Engine B owns it directly (today the atomizer has formats 06-11; feature-announcement is a swipe file being promoted to a format).

Output — one idea bundle (same shape as Engine A)

content/03-drafts/<YYYY-MM-DD>-<feature-slug>/
  meta.yml     id · title · date · engine: B · source (the PRs) · formats[] each status: draft · gates
  article.md   the pillar — the feature story + the lesson
  linkedin.md  build-in-public / demo post (x.md optional)
  email.md     the feature-announcement (deep-link CTA into the product)
  images/      image1.png = hero (leads the email + article), then image2.png…
  video/       optional explainer / demo clip

Rails

1. Never auto-send / auto-publish. Everything stages at status: draft; Sid approves per format.
2. Grounded, cited to the PR. Every "what shipped" claim carries a PR #/commit sha; unproven → don't ship it. Announce shipped capability, never claimed adoption.
3. One feature = one bundle. Cluster; don't spam a bundle per PR.
4. Voice = consulting-copy-writer; edit gates before staging.
5. Watches the product repo, not consulting-os.

Open decisions

• B1 — ✅ RESOLVED (2026-06-30): watch the public recoupable org, read tokenless via pull_prs.py. No PAT/App needed (optional read-only token only for rate-limit headroom).
• B2 — the user-facing filter signal. Grounded default from the real PR stream: conventional-commit prefix — keep feat(...); drop chore/test/ci/build/refactor/docs + bare "Test" PRs; treat fix: as user-facing only if it names a user-visible symptom. Confirm, or add a user-facing PR label.
• B3 — feature-announcement as email-atomizer format #12 vs. Engine B owns it directly.

New pieces (build order)

1. integrations/github/ — the merged-PR pull (pull_prs.py) + LAST_SYNCED. ✅ built + verified.
2. This skill. ✅ scaffolded.
3. Promote the feature-announcement swipe file → a reusable format. ✅ done.
4. Wired into the pipeline: extract half in consulting-nightly-ingestion, draft half in consulting-nightly-content. First sample bundle done (2026-07-01-agent-sends-email). Next: lock B2 (filter heuristic) + B3 (atomizer format).

Connection to products/ (distinct, adjacent)

products/ decides what to build (demand → score → ship); Engine B announces what shipped. They meet at source: — a products/05-shipped/ card or its PRs trigger Engine B; Engine B's engagement (demo clicks, replies) feeds revealed-demand signals back into products/_signals.md. Neither owns the other.