FLOW Framework — Find · Leverage · Optimize · Win

Shared Data Cache

Step 0 -- Check shared data cache:

Before gathering, check .seo-cache/ for reusable context from related SEO skills. Reference: ../seo/references/shared-data-cache.md for schemas and dependency map.

Check these cache files when present:

• .seo-cache/site-meta.json for domain, business type, industry, and crawl context

• .seo-cache/audit-scores.json for prior full-audit priorities

• .seo-cache/pages/{url-slug}/page-analysis.json for page-level context when a URL is provided

• If found: parse and use clearly valid fields (note "Using cached [X] from [date]")

• If missing, corrupt, or irrelevant: continue with fresh evidence

• If the user says "refresh" or "re-run": ignore cache reads and overwrite on write

Framework and prompts © Daniel Agrici, CC BY 4.0 — github.com/AgriciDaniel/flow

FLOW is an evidence-led SEO operating model built for the AI-search era. Codex SEO integrates the FLOW prompt library (41 prompts across 5 stages) so every analysis can be driven by structured, evidence-backed AI prompts rather than improvised queries.

Runtime context: Load references/flow-framework.md on every /seo flow activation. Load prompt files on demand — only for the stage the user requests.

---

Commands

Command	What it does
/seo flow	Show FLOW overview + stage menu
/seo flow find [url|topic]	Find-stage: keyword research, gap analysis, SERP intent mapping (5 prompts)
/seo flow leverage [url]	Leverage-stage: backlink strategy, off-site authority (1 prompt)
/seo flow optimize [url]	Optimize-stage: select 2-3 most relevant of 21 prompts based on context
/seo flow win [url]	Win-stage: BOFU, conversion rate, dual-surface scorecard (3 prompts)
/seo flow local [url]	Local-stage: GBP optimization, meta, title tags, local audits (11 prompts)
/seo flow prompts	Full index of all 41 prompts — stage, name, trigger conditions
/seo flow sync	Pull latest prompt files from github.com/AgriciDaniel/flow

---

Orchestration Logic

On /seo flow (no sub-command)

1. Read references/flow-framework.md
2. Show the FLOW stage overview with a one-line description of each stage
3. Ask: which stage matches the user's current situation?

On /seo flow find [url|topic]

1. Read all files in references/prompts/find/
2. Apply each prompt to the URL or topic
3. Cross-reference: "For deeper SERP clustering, see /seo cluster <seed-keyword>"

On /seo flow leverage [url]

1. Read the file in references/prompts/leverage/
2. Apply to the URL's current backlink context
3. Cross-reference: "For raw backlink data, see /seo backlinks <url>"

On /seo flow optimize [url]

1. Read all file names in references/prompts/optimize/
2. Read prior analysis context (URL, industry vertical, any prior skill output in conversation)
3. Select 2-3 most relevant prompts; load only those files
4. Apply selected prompts; note the others are accessible via /seo flow prompts
5. Cross-reference: "For full content quality analysis, see /seo content <url> and /seo geo <url>"

On /seo flow win [url]

1. Read all files in references/prompts/win/
2. Apply each prompt to the URL's conversion and BOFU context
3. Cross-reference: "For SXO persona scoring, see /seo sxo <url>"

On /seo flow local [url]

1. Read all files in references/prompts/local/
2. Apply to the URL's local SEO context
3. Cross-reference: "For full local SEO analysis, see /seo local <url> and /seo maps [command]"

On /seo flow prompts

1. Read references/prompts/README.md
2. Display the full index: all 41 prompts with stage, name, trigger conditions

On /seo flow sync

1. Run: python scripts/sync_flow.py
2. Display the JSON summary (files added, updated, unchanged)
3. Show attribution notice after sync completes

---

Context Matching (Optimize stage)

The optimize stage has 21 prompts. Dumping all 21 is noise. Select by priority:

1. Industry vertical (SaaS → on-page + technical; local → citations + GBP; publisher → E-E-A-T + freshness)
2. Prior skill output (seo-technical flagged crawl issues → technical optimize prompts; seo-content flagged E-E-A-T gaps → content optimize prompts)
3. URL signals (product pages → conversion; blog → freshness + authority)

Always surface exactly 2-3 prompts. State which prompts you chose and why.

---

Reference Files

Load on-demand — do NOT load all at startup:

• references/flow-framework.md — FLOW operating model (load on every /seo flow activation)
• references/bibliography.md — Evidence sources; load when citing studies or statistics
• references/prompts/README.md — Prompt index; load for /seo flow prompts
• references/prompts/find/ — 5 prompts; load for /seo flow find
• references/prompts/leverage/ — 1 prompt; load for /seo flow leverage
• references/prompts/optimize/ — 21 prompts; load selectively for /seo flow optimize
• references/prompts/win/ — 3 prompts; load for /seo flow win
• references/prompts/local/ — 11 prompts; load for /seo flow local

---

Attribution

Every /seo flow activation (any sub-command) outputs before analysis:

Framework and prompts © Daniel Agrici, CC BY 4.0 — github.com/AgriciDaniel/flow

Do not omit or modify the attribution.

---

Error Handling

Scenario	Action
references/flow-framework.md missing	"FLOW reference files not synced. Run: /seo flow sync"
Prompt file missing	"Run /seo flow sync to pull the latest prompts from the FLOW repo."
sync_flow.py network error	Display the script's stderr. Check rate limits: gh api rate_limit.
sync_flow.py auth error	Run gh auth login then retry.

Write to shared data cache

After completing all work, write a concise JSON summary to .seo-cache/ when the workflow produced durable findings. Use the schemas and naming rules in ../seo/references/shared-data-cache.md; include at least cache_type, analyzed_at, source URL/domain, key findings, issues, recommendations, and tool limitations. Add .seo-cache/ to .gitignore if it is missing.