Standalone article · part of a sequenced guide
What you'll unlock: Serious Cowork users do not brainstorm workflows from scratch — they clone blueprints, map paths, and promote through production gates.
End-to-End Workflow Blueprints
Complete, detailed, production-ready workflow blueprints — the reference library for serious Cowork users
Chapter context
You know how to build Skills — but staring at an empty workflow builder wastes the hour you were trying to save. Chapter 6 gives production-ready designs
Is this chapter for you?
Are you automating leadership, ops, or content work?
Start in Concept 1, 2, or 3 — clone closest blueprint before custom design.
Does the blueprint touch external sends or money?
Default T3 approval from blueprint; read Ch 5 §2.4 before enabling send nodes.
Do you already have a similar workflow from Ch 3–4?
Merge duplicate Skills — blueprints share DOC_PIPELINE, KPI_REPORT, intel scans.
Is this your first production workflow?
Start §2.1 document pipeline or §1.1 exec brief (read-only connectors) — highest learning ROI.
Chapters 1–5 taught mental models, Skills, schedules, connectors, and production discipline. Chapter 6 is the blueprint library — executive, operations, and content/knowledge patterns you implement rather than invent.Each blueprint references prior chapters: TAR Skills (Ch 2), triggers (Ch 3), MCP (Ch 4), validation and approval gates (Ch 5). Clone, allowlist, regression-test, then schedule.
Chapter insight
Serious Cowork users do not brainstorm workflows from scratch — they clone blueprints, map paths, and promote through production gates.
Reference diagrams
Blueprint library map
Three lanes — pick blueprint by role, adapt paths and connectors.
Blueprint adaptation loop
Clone spec → map paths → sandbox → production gate → schedule.
Implementation paths
Reference designs — not generic inspiration slides.
Concept 1
Executive & Leadership Workflows
The operational workflows that give senior leaders back hours every week — complete designs with Skill specifications
1.1
The executive morning brief
Calendar + email + news + Slack → prioritised daily briefing delivered by 8am
Key takeaway
Blueprint EXEC_BRIEF_v1: four parallel fetches → JOIN → prioritise → one template — delivered to Drive + Slack link by 7:45am, HITL T2.
Why this matters
This is the flagship leadership workflow — proves MCP + pipeline discipline from Chapters 3–5 in one package.
Pipeline: CAL_FETCH || GMAIL_FETCH || SLACK_READ || NEWS_SCAN → JOIN → PRIORITISE_v1 → BRIEF_EXEC_v1 → VALIDATE → DRIVE_WRITE + SLACK_NOTIFY.
Schedule: cron 6:30 local. Output sections: Top 3 decisions, Calendar risks, Overnight signals, Waiting on you. Token budget: cap fetches; degrade per Ch 5 §1.4.
Workflow — do this next
- 01Clone blueprint spec; set connector allowlists.
- 02Run manual ×5 with production readiness gate.
- 03Schedule 6:30; notify #exec-brief with Drive link.
- 04Executive reviews by 8am — never auto-forward externally.
Ready-to-use artifacts
Complete templates — paste directly into your AI tool or automation workflow.
EXEC_MORNING_BRIEF blueprint
Skills: CAL_FETCH | GMAIL_FETCH | SLACK_READ | NEWS_SCAN
→ JOIN → PRIORITISE_v1 → BRIEF_EXEC_v1 → VALIDATE → EMIT
Schedule: 06:30 | HITL: T2 | SLA: brief by 07:45
Output: ~/Briefs/exec/{date}/brief.md1.2
The board pack preparation workflow
Multiple input documents → synthesised executive summary → formatted presentation → distributed
Key takeaway
BOARD_PACK_v1: ingest fixed folder → extract metrics per doc type → SYNTH_BOARD → FORMAT_DECK outline — staging until T3 approval before distribution.
Why this matters
Board week is the highest-stakes ops window — this blueprint encodes change freeze and validation from Ch 5.
Trigger: condition board_inputs_ready.flag in ~/Board/inbox/{quarter}/. Skills: INGEST_BOARD_DOCS → EXTRACT_FINANCE | EXTRACT_OPS | EXTRACT_PRODUCT → SYNTH_BOARD_v1 → FORMAT_BOARD_MEMO_v1 + slide_outline.md. QA reconciles financial totals to source.
Non-goals: never auto-send to board portal. Distribution only after approval.flag + partner review. Archive prior quarter for regression fixtures.
Workflow — do this next
- 01Define board folder schema + flag lifecycle.
- 02Build extract Skills per document type.
- 03QA gate on financial reconciliation.
- 04T3 approval before any connector write to board share.
Ready-to-use artifacts
Complete templates — paste directly into your AI tool or automation workflow.
BOARD_PACK pipeline spec
INGEST → EXTRACT_* → SYNTH_BOARD → QA → FORMAT → REVIEW_QUEUE
→ (T3) DRIVE_DISTRIBUTE
Freeze: no Skill version bumps 7d before board1.3
The stakeholder communication workflow
Update inputs → personalised stakeholder messages → review queue → approved sends
Key takeaway
STAKEHOLDER_COMMS_v1: segment map in Context → one draft per stakeholder tier → queue — send only with per-recipient approval.flag.
Why this matters
Personalised at scale without uncontrolled send is the leadership comms sweet spot.
Inputs: weekly update bullets, CRM segment export, STAKEHOLDER_MAP.json (tier, tone, channel). CLASSIFY_STAKEHOLDER → DRAFT_TIER_A | DRAFT_TIER_B → QUEUE_REVIEW. Enterprise tier always ESCALATE_HUMAN.
Workflow — do this next
- 01Maintain STAKEHOLDER_MAP with owner.
- 02Drafts-only for 30 days.
- 03approval.flag per recipient before SEND.
- 04Audit log: run_id, approver, recipient hash.
1.4
The strategic intelligence workflow
Competitor monitoring → industry signals → weekly intelligence brief → decision-relevant summary
Key takeaway
STRAT_INTEL_v1: extends Ch 4 multi-source intel — competitor diff + industry RSS allowlist → decision-focused weekly brief.
Why this matters
Leaders need 'so what for our strategy' not news clippings — blueprint forces decision section.
Weekly Sunday 8pm: COMPETITOR_SCAN (parallel per entity) → INDUSTRY_SCAN → JOIN → SYNTH_STRATEGY_v1. Required sections: Moves, Implications, Recommended decisions, Unknowns. Citations mandatory for external claims.
Workflow — do this next
- 01Cap competitors at 8; allowlist sources.
- 02Diff-based scans save tokens.
- 03Route to exec review queue Monday AM.
- 04Quarterly prune low-signal sources.
Ready-to-use artifacts
Complete templates — paste directly into your AI tool or automation workflow.
STRAT_INTEL weekly brief template
## Competitor moves (cited) ## Industry signals ## Implications for us ## Decisions to consider ## Unknowns / gaps
1.5
The performance review workflow
Data inputs → narrative generation → draft review document → manager review queue
Key takeaway
PERF_REVIEW_DRAFT_v1: structured inputs only — goals JSON, feedback bullets, metrics — never invent ratings; managers own final prose.
Why this matters
HR-sensitive workflow demands restricted data class and T3 review — blueprint encodes non-goals.
Inputs: employee_goals.json, 360_bullets.md, team_metrics.csv (anonymised aggregates). GENERATE_REVIEW_DRAFT fills template sections — does not assign performance ratings. Output to confidential staging; access ACL per manager.
Workflow — do this next
- 01Legal/HR sign-off on template + data classes.
- 02No auto-publish to HRIS.
- 03Manager edits all narrative before file.
- 04Delete staging per retention policy.
1.6
The decision memo workflow
Decision context → options analysis → recommendation → formatted memo → distributed for input
Key takeaway
DECISION_MEMO_v1: context pack in → OPTIONS_ANALYSIS → RECOMMENDATION with explicit assumptions → memo.md — circulate for input, not decision by automation.
Why this matters
Decision memos fail when options are vague — blueprint requires 2–4 options with tradeoff table.
Trigger: manual or decision_context/ drop. Skills: INGEST_CONTEXT → OPTIONS_v1 (min 2 options, pros/cons/risks) → RECOMMEND_v1 (states assumptions) → FORMAT_MEMO_v1. Distribute to REVIEW_QUEUE; collecting input is human.
Workflow — do this next
- 01Define DECISION_MEMO_TEMPLATE.
- 02Require assumptions section.
- 03No auto-approve recommendation.
- 04Archive memos with run_id for audit.
Ready-to-use artifacts
Complete templates — paste directly into your AI tool or automation workflow.
Decision memo template
## Context
## Options (table: option | pros | cons | risk)
## Recommendation + assumptions
## Open questions
## Input requested by {date}1.7
The travel and meeting preparation workflow
Calendar → pre-read assembly → briefing document → delivered before each meeting
Key takeaway
MEETING_PREP_v1: poll calendar 45–75 min ahead → pull Drive docs by attendee/project heuristics → PREP_DOC per meeting — DM or folder delivery.
Why this matters
Extends Ch 4 §2.3 with full Skill spec and validation for executive calendar density.
Every 30m: CAL_UPCOMING → DRIVE_MATCH_v1 → PREP_ASSEMBLE_v1. Skip all-day/focus. Include: goal, attendees, linked files, last decisions, suggested questions. VALIDATE: ≥1 linked file or explicit 'no files found'.
Workflow — do this next
- 01Tune Drive search heuristics per exec.
- 02Pilot DM-to-self 2 weeks.
- 03Cap 6 preps per scan — overflow digest.
- 04Exclude confidential external titles from auto-search.
1.8
The week-in-review workflow
Activity log + outputs + metrics → weekly summary → distributed to team and stakeholders
Key takeaway
WIR_v1: aggregate run manifests + key metrics + human bullet input → WEEKLY_LEADER_SUMMARY — Friday 4pm to staging, Monday optional auto-digest after approval.
Why this matters
Closes the loop — leaders see what Cowork did and what the team shipped in one narrative.
Inputs: COWORK_RUN_MANIFESTS week slice, KPI_CSV, leader_bullets.md. AGGREGATE_WIR → NARRATE_WIR_v1. Sections: Wins, Metrics, Automation summary, Next week focus. T2 review before team Slack post.
Workflow — do this next
- 01Auto-collect manifests from run history export.
- 02Leader adds 3 bullets before Friday cron.
- 03Review queue Friday PM; post Monday if approved.
Ready-to-use artifacts
Complete templates — paste directly into your AI tool or automation workflow.
WEEK_IN_REVIEW blueprint
AGGREGATE_WIR → NARRATE_WIR → VALIDATE → REVIEW → (approve) SLACK_POST Schedule: Fri 16:00 | HITL: T2
Concept 2
Operations & Process Workflows
The workflows that run business operations — document processing, reporting, and process automation blueprints
2.1
The document processing pipeline
Folder monitoring → extraction → classification → routing → filing → notification
Key takeaway
DOC_PIPELINE_v1: canonical inbox blueprint — event trigger, classify, extract, route, notify — idempotent move-to-processed.
Why this matters
Highest-ROI ops pattern; this is the reference implementation of Ch 3 §2.2 with full Skill names.
Watch ~/Ops/inbox/ → CLASSIFY_DOC_v1 → branch by type → EXTRACT_* → ROUTE_v1 (Finance|Legal|Ops paths) → NOTIFY_v1. manifest per file; failed stay with ERROR sidecar.
Workflow — do this next
- 01Deploy inbox + processed + failed folders.
- 02One extract Skill per MIME family.
- 03Debounce 90s; max 5 files/run.
- 04Weekly failed-folder triage.
Ready-to-use artifacts
Complete templates — paste directly into your AI tool or automation workflow.
DOC_PIPELINE blueprint
WATCH → CLASSIFY → [EXTRACT_PDF|CSV|DOCX] → ROUTE → NOTIFY
Idempotency: move to processed/{run_id}/
QA: classification confidence < 0.7 → review2.2
The contract review workflow
Contract upload → clause extraction → risk flagging → summary → review queue
Key takeaway
CONTRACT_REVIEW_v1: extract parties, term, renewal, liability, indemnity → RISK_FLAG against playbook → summary for legal — never legal advice, always review queue.
Why this matters
Legal workflows need explicit non-goals and restricted classification — blueprint documents both.
Trigger: PDF in ~/Legal/inbox/. EXTRACT_CONTRACT_v1 → CLAUSE_MAP_v1 → RISK_FLAG_v1 (known risky patterns) → LEGAL_SUMMARY_v1. Output: contract.json + summary.md + flags[]. Route ALL to legal review queue — T3.
Workflow — do this next
- 01Legal owns RISK_PATTERN library.
- 02Disclaimer in every summary output.
- 03No auto-approve or auto-sign.
- 04Retention per legal policy.
2.3
The vendor management workflow
Vendor inputs → evaluation synthesis → comparison matrix → recommendation → filed output
Key takeaway
VENDOR_EVAL_v1: normalise vendor proposals to schema → COMPARE_MATRIX → RECOMMENDATION with criteria weights from Context — filed to ~/Procurement/evals/.
Why this matters
Procurement needs comparable columns — blueprint enforces VENDOR_SCHEMA before synthesis.
Inputs: proposals in ~/Procurement/inbox/{rfp_id}/. NORMALISE_VENDOR_v1 per file → JOIN → MATRIX_v1 → NARRATIVE_REC_v1. Criteria weights in evaluation_rubric.json — human-set, not model-invented.
Workflow — do this next
- 01Define VENDOR_SCHEMA + rubric.
- 02Golden test with 2 past RFPs.
- 03Review queue before procurement lead sign-off.
- 04Archive matrix + manifest per RFP.
Ready-to-use artifacts
Complete templates — paste directly into your AI tool or automation workflow.
VENDOR_SCHEMA fields
vendor_name, pricing_model, term_months, sla, security_certs, implementation_weeks
2.4
The compliance monitoring workflow
Regulatory inputs → change detection → impact assessment → action items → assigned
Key takeaway
COMPLIANCE_MONITOR_v1: diff regulatory feeds → IMPACT_ASSESS per policy map → ACTION_ITEMS with owner hints — assign is human.
Why this matters
Compliance automation assists triage — does not certify compliance.
Daily: REG_FETCH (allowlist) → DIFF vs prior → MATCH_POLICY_MAP_v1 → IMPACT_v1 → ACTIONS.md. Each action: summary, suggested owner role, deadline suggestion, source citation. Route to compliance review queue.
Workflow — do this next
- 01Maintain POLICY_MAP.json with compliance owner.
- 02Citations required on every change item.
- 03Monthly false-positive review.
- 04No auto-close of compliance tickets.
2.5
The project status workflow
Input aggregation → status synthesis → formatted report → stakeholder distribution → archived
Key takeaway
PROJECT_STATUS_v1: collect status md/csv from fixed project folders → SYNTH_STATUS → REPORT_PROJECT_v1 — weekly cron, archive by project/week.
Why this matters
PMO reporting is repetitive and structured — ideal Cowork blueprint.
Monday 7am: scan ~/Projects/*/status_input/ → AGGREGATE → SYNTH_STATUS_v1 (RAG, blockers, milestones) → FORMAT_REPORT → staging → notify PM leads. VALIDATE: every active project has entry or explicit 'no input'.
Workflow — do this next
- 01Define active project list in Context.
- 02PM submits inputs by Sunday 6pm.
- 03Validation flags missing projects.
- 04Archive to ~/Projects/reports/{iso_week}/.
2.6
The expense and financial review workflow
Input documents → extraction → categorisation → anomaly flagging → review queue
Key takeaway
EXPENSE_REVIEW_v1: receipt PDFs + export CSV → extract → categorise per chart → ANOMALY_FLAG (duplicate, threshold) — finance review before ERP.
Why this matters
Money-moving workflows stop at queue — blueprint repeats Ch 5 gates.
Event: files in ~/Finance/expense_inbox/. EXTRACT_RECEIPT → NORMALISE_EXPENSE → MATCH_POLICY_v1 → ANOMALY_v1. Output: expenses.json + review.md for flagged only. No ERP write in v1.
Workflow — do this next
- 01Chart of accounts in Context.
- 02Anomaly thresholds finance-approved.
- 03T3 for any connector write to accounting system.
- 04Reconcile totals to source CSV in QA.
2.7
The onboarding document workflow
New joiner inputs → personalised onboarding pack → delivered to manager → filed
Key takeaway
ONBOARD_PACK_v1: HR form json + role template → ASSEMBLE_ONBOARD_v1 — personalised schedule, links, first-week checklist — to manager Drive folder.
Why this matters
HR ops is document assembly with personalisation — low risk, high time savings.
Trigger: new_hire.json dropped in ~/HR/onboarding/trigger/. MERGE_TEMPLATE (role-based) → PERSONALISE_v1 → PACK.md + links.json → DRIVE_WRITE manager folder + NOTIFY manager. PII: confidential tier.
Workflow — do this next
- 01Maintain role templates per department.
- 02HR triggers via form export json.
- 03Manager review optional T1 notify only.
- 04Delete trigger file after success.
2.8
The KPI reporting workflow
Data inputs → metric calculation → narrative generation → formatted report → distributed on schedule
Key takeaway
KPI_REPORT_v1: INGEST → CLEAN → COMPUTE_METRICS → INTERPRET_FLAGS → REPORT — full Ch 3 §3.8 data-to-decision blueprint with ops naming.
Why this matters
KPI workflow is the analytical pipeline reference most ops teams deploy second after doc inbox.
Condition: kpi_export_ready.flag. Pipeline: INGEST_KPI → CLEAN → ANALYSE → QA reconcile → NARRATE → DISTRIBUTE to ~/Reports/kpi/{date}/ + Slack digest. SLI: QA PASS by 7am Monday.
Workflow — do this next
- 01METRIC_DEFINITIONS signed by leadership.
- 02Golden test vs spreadsheet.
- 03Separate COMPUTE and NARRATE Skills.
- 04Monthly metric definition audit.
Ready-to-use artifacts
Complete templates — paste directly into your AI tool or automation workflow.
KPI_REPORT pipeline
INGEST → CLEAN → ANALYSE → QA → NARRATE → DISTRIBUTE Artifacts: metrics.json, report.md, QA.json Trigger: condition export_ready.flag
Concept 3
Content & Knowledge Workflows
The workflows that run content operations and knowledge management — production-grade designs for content teams and knowledge workers
3.1
The content production pipeline
Brief → research → outline → draft → edit → format → schedule → publish confirmation
Key takeaway
CONTENT_PIPELINE_v1: stage-gated production — each stage is a Skill; publish requires approval.flag — never auto-publish v1.
Why this matters
Content teams need pipeline clarity — blueprint maps creative process to auditable Skills.
Stages: BRIEF_INGEST → RESEARCH_v1 → OUTLINE_v1 → DRAFT_v1 → EDIT_v1 (style card) → FORMAT_v1 → SCHEDULE_STAGING → (T3) PUBLISH_CONFIRM. Handoff manifest between stages; regression fixtures per content type.
Workflow — do this next
- 01Define style card per channel.
- 02Human gate after DRAFT and before PUBLISH.
- 03Store all stages under ~/Content/{project_id}/.
- 04ROI: track mins saved vs review mins.
Ready-to-use artifacts
Complete templates — paste directly into your AI tool or automation workflow.
CONTENT_PIPELINE stages
brief → research → outline → draft → edit → format → schedule → (approve) publish HITL: T2 after draft, T3 before publish
3.2
The research synthesis workflow
Source inputs → extraction → comparison → synthesis → cited output → filed
Key takeaway
RESEARCH_SYNTH_v1: multi-source ingest → EXTRACT per source → COMPARE_MATRIX → SYNTH with numbered citations — filed to ~/Research/{topic}/.
Why this matters
Research without citations is unusable in production — blueprint mandates Sources section.
Inputs: URLs list, PDF drops, internal notes. FETCH → EXTRACT → COMPARE → SYNTH_RESEARCH_v1. Output: synthesis.md + sources.bib.json. Web fetches allowlisted; store retrieval dates.
Workflow — do this next
- 01Allowlist domains in Skill Context.
- 02Require min 3 sources for publish to staging.
- 03QA: every claim maps to source id.
- 04Archive raw fetches 7d per policy.
3.3
The knowledge base maintenance workflow
New inputs → extraction → classification → integration into knowledge base → change log
Key takeaway
KB_MAINTAIN_v1: classify topic → extract facts → propose KB patch (diff format) → human merge — Cowork proposes, human approves KB write.
Why this matters
Fully automated KB writes drift; propose-and-merge is the safe pattern.
Watch ~/KB/inbox/ → CLASSIFY_KB_TOPIC → EXTRACT_FACTS_v1 → PROPOSE_PATCH_v1 (markdown diff) → REVIEW_QUEUE. On approve: optional Notion/MCP write or manual paste. CHANGELOG.md append per run_id.
Workflow — do this next
- 01Define KB taxonomy.
- 02Patch format: diff only, not full replace.
- 03Owner approves merges weekly.
- 04Version KB exports monthly for regression.
3.6
The competitive intelligence workflow
Competitor monitoring → change detection → synthesis → weekly brief → distributed
Key takeaway
COMP_INTEL_v1: same core as §1.4 with content-team delivery — formatted for internal wiki + Slack #competitive.
Why this matters
Content and strategy teams share intel machinery — blueprint notes audience-specific formatting Skill.
COMP_SCAN parallel → DIFF → SYNTH_COMP_v1 → FORMAT_WIKI_v1 + SLACK_DIGEST_v1. Emphasise product/marketing implications section. Schedule Monday 7am.
Workflow — do this next
- 01Share scan Skills with STRAT_INTEL where possible.
- 02Audience format Skills separate from SYNTH.
- 03Wiki write to staging; human promote.
3.7
The learning digest workflow
Reading list inputs → summary extraction → key insight synthesis → formatted digest → distributed
Key takeaway
LEARNING_DIGEST_v1: reading list csv/urls → EXTRACT per item → SYNTH_INSIGHTS → digest.md — team L&D distribution on schedule.
Why this matters
Teams curate more than they read — digest makes reading lists actionable.
Biweekly: READING_LIST ingest → BATCH_EXTRACT (max 10 items) → SYNTH_DIGEST_v1. Sections: One-line thesis per item, Cross-cutting themes, Suggested actions. Cite each item.
Workflow — do this next
- 01Curator maintains reading_list.csv.
- 02Cap items per run for token budget.
- 03Distribute to Slack #learning or email draft.
- 04Archive digests by period.
3.8
The meeting notes-to-knowledge workflow
Meeting transcript → action extraction → decision logging → knowledge base update → notifications sent
Key takeaway
NOTES_TO_KB_v1: transcript → ACTIONS + DECISIONS extract → PROPOSE_KB_ENTRIES → notify owners — actions do not auto-create tickets without approval.
Why this matters
Meeting notes are the richest knowledge feed — blueprint structures extract → propose → notify.
Drop transcript in ~/Meetings/inbox/. EXTRACT_ACTIONS_v1 → EXTRACT_DECISIONS_v1 → PROPOSE_KB_v1 → NOTIFY_OWNERS_v1 (Slack DM template with action list). Ticket creation optional v2 with approval.
Workflow — do this next
- 01Transcript format normalised (vtt/md).
- 02Owner assignment suggestions — human confirms.
- 03KB proposals to review queue.
- 04Notify action owners — no auto-assign in v1.
Ready-to-use artifacts
Complete templates — paste directly into your AI tool or automation workflow.
NOTES_TO_KB pipeline
TRANSCRIPT → EXTRACT_ACTIONS | EXTRACT_DECISIONS
→ PROPOSE_KB → REVIEW → NOTIFY
Output: actions.json, decisions.json, kb_patch.diffReady-to-use artifacts
Complete templates — paste directly into your AI tool or automation workflow.
Blueprint index (24 workflows)
Quick reference — section ID to blueprint name.
Exec: EXEC_BRIEF, BOARD_PACK, STAKEHOLDER_COMMS, STRAT_INTEL, PERF_REVIEW, DECISION_MEMO, MEETING_PREP, WIR Ops: DOC_PIPELINE, CONTRACT_REVIEW, VENDOR_EVAL, COMPLIANCE_MONITOR, PROJECT_STATUS, EXPENSE_REVIEW, ONBOARD_PACK, KPI_REPORT Content: CONTENT_PIPELINE, RESEARCH_SYNTH, KB_MAINTAIN, NEWSLETTER, SOCIAL_MULTI, COMP_INTEL, LEARNING_DIGEST, NOTES_TO_KB
Blueprint adaptation checklist
Steps to clone any Ch 6 blueprint to your environment.
[ ] Copy pipeline spec [ ] Map paths + connector allowlists [ ] PATH_MAPPING sandbox → prod [ ] 5-run test + regression [ ] Production readiness gate [ ] Schedule + monitor 3 cycles
EXEC_MORNING_BRIEF blueprint
Skills: CAL_FETCH | GMAIL_FETCH | SLACK_READ | NEWS_SCAN
→ JOIN → PRIORITISE_v1 → BRIEF_EXEC_v1 → VALIDATE → EMIT
Schedule: 06:30 | HITL: T2 | SLA: brief by 07:45
Output: ~/Briefs/exec/{date}/brief.mdBOARD_PACK pipeline spec
INGEST → EXTRACT_* → SYNTH_BOARD → QA → FORMAT → REVIEW_QUEUE
→ (T3) DRIVE_DISTRIBUTE
Freeze: no Skill version bumps 7d before boardSTRAT_INTEL weekly brief template
## Competitor moves (cited) ## Industry signals ## Implications for us ## Decisions to consider ## Unknowns / gaps
Decision memo template
## Context
## Options (table: option | pros | cons | risk)
## Recommendation + assumptions
## Open questions
## Input requested by {date}WEEK_IN_REVIEW blueprint
AGGREGATE_WIR → NARRATE_WIR → VALIDATE → REVIEW → (approve) SLACK_POST Schedule: Fri 16:00 | HITL: T2
DOC_PIPELINE blueprint
WATCH → CLASSIFY → [EXTRACT_PDF|CSV|DOCX] → ROUTE → NOTIFY
Idempotency: move to processed/{run_id}/
QA: classification confidence < 0.7 → reviewVENDOR_SCHEMA fields
vendor_name, pricing_model, term_months, sla, security_certs, implementation_weeks
KPI_REPORT pipeline
INGEST → CLEAN → ANALYSE → QA → NARRATE → DISTRIBUTE Artifacts: metrics.json, report.md, QA.json Trigger: condition export_ready.flag
CONTENT_PIPELINE stages
brief → research → outline → draft → edit → format → schedule → (approve) publish HITL: T2 after draft, T3 before publish
NOTES_TO_KB pipeline
TRANSCRIPT → EXTRACT_ACTIONS | EXTRACT_DECISIONS
→ PROPOSE_KB → REVIEW → NOTIFY
Output: actions.json, decisions.json, kb_patch.diffCoE — blueprint library cut time-to-production 70%
A 45-person company's Cowork CoE spent 3 weeks per new workflow inventing pipelines from scratch — inconsistent gates, duplicate Skills, frustrated domain owners.
Before
11 custom one-offs, 4 failed schedules, no shared naming, executives still asking 'can Cowork do X?'
After
Chapter 6 blueprint library in ops wiki; adaptation checklist mandatory; exec brief + doc pipeline + KPI report as standard trio; new workflows clone and ship in 4–5 days.
- Time-to-production → 21 days median to 6 days
- Duplicate Skills → consolidated from 11 overlapping to 6 canonical
- Production incidents → 2 in Q1 to 0 after blueprint QA patterns
- Adoption → 18 live workflows in 2 quarters vs 5 in prior year
What goes wrong
Copying blueprint Skill names without TAR specs — behaviour drift.
Clone full TAR + fixtures per Ch 2 §3.8 share bundle.
Skipping validation because 'blueprint looked production-ready.'
Ch 5 production gate on every adaptation — blueprints assume gates, do not replace them.
Enabling send/publish nodes on day one.
Blueprints default drafts/review — T3 only after pilot period.
24 blueprints attempted at once — CoE overwhelmed.
§3.2 priority matrix — deploy standard trio first, one new blueprint per sprint.

Vetted by Krishna KumarCurator, FactorBeam
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3.5
The social content workflow
Source material → multi-format content generation → review queue → scheduled for publishing
Key takeaway
SOCIAL_MULTI_v1: one source brief → PARALLEL draft LinkedIn, X, thread variants → JOIN → review queue — schedule posts only with per-post approval.flag.
Why this matters
Multi-format from one source saves time; per-channel style cards prevent voice bleed.
Input: source.md or blog URL fetch. BRANCH: DRAFT_LINKEDIN | DRAFT_X | DRAFT_THREAD → JOIN_REVIEW. Style card per platform. Publishing connector optional v2 — v1 exports to ~/Social/scheduled/.
Workflow — do this next