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Product Vision Steering

  • 23 installs
  • 2 repo stars
  • Updated July 17, 2026
  • ontoledgy/ol_ai_context_library

Helps with ai & agent building tasks.

About

product-vision-steering is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • product-vision-steering
  • AI & Agent Building
  • AI-coding skill

Product Vision Steering by the numbers

  • 23 all-time installs (skills.sh)
  • Ranked #10,028 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/ontoledgy/ol_ai_context_library --skill product-vision-steering

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Listed on Skillselion
Installs23
repo stars2
Last updatedJuly 17, 2026
Repositoryontoledgy/ol_ai_context_library

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Product Vision & Steering

Role

You produce the three steering documents that every downstream spec, backlog item, and implementation relies on for context. These are the project's long-lived "constitution" — they change rarely and intentionally.

You are invoked by the ol-sdd-workflow orchestrator at Phase 0, or directly by the user when steering needs to be set up or refreshed.

Deliverables

FileTemplate (bundled)Purpose
documentation/steering/product.mdreferences/templates/product-template.mdProduct vision: purpose, users, key features, objectives, metrics, principles, constraints, scope
documentation/steering/tech.mdreferences/templates/tech-template.mdTechnology stack: languages, frameworks, libraries, tooling, deployment, allowlist, SDD workflow backends (tracker + docs)
documentation/steering/structure.mdreferences/templates/structure-template.mdProject structure: directory layout, naming conventions, test placement, skill routing

The templates are bundled inside this skill at references/templates/ so they ship with the skill zip. Mirror copies exist at prompts/coding/templates/{product,tech,structure}-template.md for non-skill consumers (e.g. software-architect, ol-sdd-workflow/references/phase-flow.md) — keep the two in sync when editing.

Each filled file is also published to the docs surface (Confluence, Notion, ADO Wiki, or local files) via the docs adapter (skills/feature-spec-author/references/docs-adapter.md), selected by the docs: input (confluence | notion | ado-wiki | local, inferred from documentation/workflow-config.md if absent; defaults to local when no docs MCP is available). On Notion the three pages land under 02 Steering. On ADO Wiki they land under {wikiRoot}/Steering. On local the committed documentation/steering/ files are the published surface.

Workflow

Step 1 — Detect Existing State

Check for:

  • documentation/steering/ directory and each of the three files
  • If any exist, read them and treat them as the baseline to refine (not replace)
  • Identify codebase type from manifest files: package.json, pyproject.toml, requirements.txt, go.mod, Cargo.toml, Pipfile, etc.

Step 2 — Analyse the Project

Scan the codebase for:

  • Primary language(s) and version
  • Frameworks and major dependencies
  • Directory structure and apparent architectural style
  • Naming conventions (snake_case vs PascalCase vs camelCase)
  • Testing framework and layout
  • CI/CD configuration

Do not fabricate details you can't verify — flag unknowns for the user.

Step 3 — Gather Product Context

Ask the user (skip questions you can answer from an existing README or docs):

  • What problem does this product solve?
  • Who are the primary users / consumers?
  • What are the top 3–5 features that deliver value?
  • What are the business or project objectives?
  • What does success look like in 6 months? (metrics, milestones)
  • Any known principles, constraints, or non-negotiables?

Step 4 — Fill the Three Templates

Populate each template. Keep it concrete and specific to this project — no boilerplate filler.

For tech.md, draw from software-architect/references/technology-stack.md if the project is on the bclearer/OL stack. Otherwise document the actual stack.

For tech.md's `## SDD Workflow Backends` section, record the chosen tracker (jira|linear|ado|local) and docs (confluence|notion|ado-wiki|local). Source the choice in this order: (a) the mode passed by ol-sdd-workflow's Backend Selection step; (b) documentation/workflow-config.md if already set; (c) if neither exists, ask the user now and persist it to workflow-config.md from skills/ol-sdd-workflow/references/workflow-config-template.md. This keeps the human-readable tech.md section and the machine-read config aligned — they must agree.

For structure.md, document what is there now (not an aspirational rewrite). If the structure has known problems, note them in a dedicated section but don't change it.

Step 5 — Present for Approval

Present all three filled documents to the user. Ask for approval per document — it's acceptable to approve them together, but give the user the chance to refine each.

Step 6 — Commit and Publish

On approval: 1. Write the three files to documentation/steering/ 2. Publish each to the docs surface via the docs adapter (publishPage): Confluence pages under the project parent, Notion pages under 02 Steering, ADO Wiki pages under {wikiRoot}/Steering, or — for docs: local — the committed documentation/steering/ files are the published surface (nothing more to do). For remote backends, ask for the space key + parent page id (Confluence), root page id (Notion), or wiki identifier + root path (ADO Wiki) if not configured. 3. Ensure documentation/workflow-config.md records the selected tracker and docs mode plus the per-backend ids (from skills/ol-sdd-workflow/references/workflow-config-template.md) — and that it matches the ## SDD Workflow Backends section of tech.md. These two must stay in sync. 4. Return to the caller (orchestrator or user) with links to committed files and docs pages (or local paths)

---

When to Refresh Steering

Steering docs should be stable. Refresh when:

  • The product pivots (new users, new primary problem)
  • The tech stack changes materially (new primary language, new framework)
  • The project structure is deliberately reorganised
  • Onboarding a new team member reveals that current steering is misleading

Minor drift (a new library added, a refactor) does not warrant a steering refresh — handle it in feature specs.

What This Skill Does NOT Do

  • Does not design features (that's feature-spec-author)
  • Does not make architecture decisions at feature-level (that's software-architect)
  • Does not produce ontology models (that's ontologist / ob-ontologist)
  • Does not define a phased development roadmap — that belongs on the project's docs landing page (Confluence/Notion/local) or as a follow-up to steering

References

  • references/templates/product-template.md — product vision template (bundled)
  • references/templates/tech-template.md — technology stack template (bundled)
  • references/templates/structure-template.md — project structure template (bundled)
  • prompts/coding/templates/{product,tech,structure}-template.md — mirror copies in the global prompts tree (kept in sync)
  • skills/software-architect/references/technology-stack.md — bclearer/OL platform libraries reference
  • skills/software-architect/references/confluence-pages.md — Confluence page conventions
  • skills/feature-spec-author/references/docs-adapter.md — docs publish adapter (confluence | notion | ado-wiki | local)

---

Feedback

If the user corrects this skill's output due to a misinterpretation or missing rule in the skill itself (not a one-off preference), invoke skill-feedback to capture structured feedback and optionally post a GitHub issue.

If skill-feedback is not installed, ask the user: "This looks like a skill defect. Would you like to install the `skill-feedback` skill to report it?" If the user declines, continue without feedback capture.

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