Imported from GeorgeQLe/agentic-skills (packs/business-research/codex/customer-discovery/archive/v1.0/SKILL.md). Install upstream with npx skills add GeorgeQLe/agentic-skills --skill v1.0. Copyright stays with the author.

Pack Availability Guard

Before telling the user to run a skill from another project-local pack, check .agents/project.json.enabled_packs. If the target pack is not enabled, recommend $pack install <pack> instead of the target skill. Global skills are always valid. Skills from this same pack are valid because the current skill is already running from that pack.

Customer Discovery — Orchestrator

Invoke as $customer-discovery.

This is an orchestrator skill using the parent router delegation pattern. It detects context, bootstraps ICP candidates, recommends applicable customer-discovery frameworks, and synthesizes their outputs into unified ICP research. Individual frameworks live as child skills under frameworks/.

Available frameworks:

Report-First Approval Gate

Default to report-only: present findings, evidence coverage, assumptions, recommended artifact path, and proposed file changes in a pre-approval alignment page plus a concise conversation summary for user approval before creating or updating canonical research, spec, or task files.

Do not write or overwrite synthesized deliverables until the user explicitly approves, unless the user invoked an explicit write/update/fix mode or clearly asked to write files upfront. Raw evidence capture may be persisted before analysis when reproducibility requires it; report those raw paths separately and still gate synthesized research/report writes.

When stopping for approval, build and attempt to open the alignment preview page first, then ask the user to review it and approve, question, or request adjustments. Do not include Recommended next skill, Recommended next command, or downstream routing language. The approval request itself is the next action. Only emit next-skill routing after the approved artifact has been written or updated.

Staged Research Workflow

Use this staged workflow for synthesized research or report outputs that would create or update canonical research, spec, or task files.

1. Stage 1 - Research and clarify. Perform the research, run required source/code checks, and ask any needed clarification questions. Write only a non-canonical working packet: flat mode uses research/_working/preliminary-customer-discovery-research.md; product-path mode uses research/{slug}/_working/preliminary-customer-discovery-research.md. Do not create or update canonical research, spec, or task files in Stage 1.
2. Stage 2 - Review alignment. Consume the working packet and build the review HTML alignment page. The page must render the full preliminary packet, evidence matrix, assumptions/confidence register, source coverage gaps, proposed canonical file changes, and approval gates. Stop for either feedback-only YAML or final compiled YAML.
3. Stage 3 - Finalize approved artifacts. Consume final compiled YAML only when it has no unresolved negative feedback. Apply approved edits first, archive the working packet, write the approved canonical artifacts, and convert the alignment page to confirmed.

Evidence And Feedback Handling

Treat user feedback as input to evaluate, not as automatic ground truth.

• For factual, evidentiary, technical, or source-backed claims: verify against available evidence. If the user appears to misunderstand the evidence or states something factually incorrect, push back clearly and cite the evidence. Do not rewrite findings merely to agree.
• For taste, brand, positioning preference, risk appetite, prioritization, or other subjective judgment calls: weigh user feedback heavily and adapt the recommendation unless it conflicts with verified evidence.
• When feedback mixes facts and preference, separate them explicitly: correct the factual part, then incorporate the preference where it is a legitimate judgment call.
• When uncertain, say what is known, what is inferred, and what would change the conclusion.

Prerequisites

• Hard: None — this is the first research skill in the AFPS chain.
• Soft: Read these if they exist:
  • research/idea-brief.md (or research/{slug}/idea-brief.md) — concept, hypotheses, ICP readiness notes
  • Specs, README/CLAUDE, and relevant source files for product context
  • research/customer-feedback.md — real customer evidence (triggers product-exists mode)

Operational Modes

Mode A: Candidate Bootstrap + Framework Selection (default first invocation)

Activated by: $customer-discovery or $customer-discovery [concept/idea] (no special flags).

Mode B: Synthesis

Activated by: $customer-discovery --synthesize

Mode C: Discovery Shortcut

Activated by: $customer-discovery discovery

Mode D: Validation Shortcut

Activated by: $customer-discovery validate

Process

0. Product-Path Scope Resolution

Resolve research scope by product path before using code or app structure as a hint:

1. If $ARGUMENTS names a non-archived research/{slug}/ directory or a product-path ID whose scope_path points there, use that path. Treat {slug} as the product/app name, not the ICP, audience, or segment label.
2. If $ARGUMENTS names only research/_archive/{slug}/ or a manifest entry with status: archived or legacy status: abandoned, stop and warn that the path is archived; do not write or update scoped outputs there.
3. Read research/.progress.yaml when present. Normalize legacy active_path to active_paths on read and write back active_paths on manifest updates. Treat legacy abandoned as archived; exclude archived, abandoned, deferred, revisit_candidate, promoted, and any scope_path under research/_archive/ from active target selection.
4. If active product paths exist in the manifest, use those paths. If multiple active paths exist, ask which one to target unless this skill explicitly supports cross-path output.
5. If no active manifest target exists, list non-archived product directories under research/, excluding research/_archive/ and dot directories. Auto-select only when exactly one exists; ask when multiple exist.
6. If no product directories exist, use flat research/ single-product mode.
7. Detect monorepo/app/package structure only as a secondary hint.

When product path {slug} is active, read and write research under research/{slug}/, specs under specs/{slug}/.

0b. Product-path manifest: Read research/.progress.yaml when present. Normalize active_path (singular legacy) to active_paths (plural list) when reading; treat legacy abandoned as archived and exclude archived/deferred/revisit/promoted paths plus research/_archive/ scopes from active target selection.

1. Mode Detection

Detect pre-product mode (default) or product-exists mode:

Pre-product mode activates when:

• No production codebase with live users detected, AND
• No research/customer-feedback.md with post-launch customer evidence, AND
• $ARGUMENTS does not contain "product" or "validate"

Available frameworks in pre-product mode:

• w3-hypothesis (default) — Schwartzfarb WHO/WHAT/WHY hypothesis generation + disproval
• jtbd-needs (default) — Ulwick/Christensen needs-based segmentation via jobs and outcomes
• four-forces (default) — Moesta Push/Pull/Anxiety/Habit switching moment analysis
• five-rings (optional) — Revella decision psychology and buyer journey. Pre-check when idea brief indicates B2B model.
• seven-dimensions (optional) — Lincoln Murphy ICP scoring with post-sale dimensions
• pmf-engine (unavailable) — requires real user data; grayed out with explanation

Product-exists mode activates when:

• Production code or deployment exists, OR
• research/customer-feedback.md exists with real customer data, OR
• $ARGUMENTS contains "product" or "validate"

Available frameworks in product-exists mode:

• pmf-engine (default) — Vohra/Supan empirical ICP from existing user data
• seven-dimensions (default) — Lincoln Murphy structured scoring with post-sale dimensions
• four-forces (optional) — switching analysis grounded in real churn/adoption data
• five-rings (optional) — buying insight refresh with real buyer evidence
• jtbd-needs (optional) — job validation against actual usage
• w3-hypothesis (unavailable) — superseded by empirical data; grayed out with explanation

2. Load Context

• Read $ARGUMENTS: if file path, read it; if text, treat as concept; if empty, check for idea brief
• Read research/{slug}/idea-brief.md or research/idea-brief.md — treat as starting hypotheses, not settled truth
• Read CLAUDE.md, README for product context
• Read codebase (if it exists): package config, key source files, routes, data models
• Read existing research/icp.md if it exists (prior run — ask user if they want to refine or start fresh)
• Read any existing research/customer-discovery-*.md intermediate artifacts (from prior framework runs)

Provisional product-path evidence. When a referenced product path is not present in research/.progress.yaml, do not treat it as a canonical active path. Require an explicit provisional-path evidence reference before using it as source context. If no such evidence exists, ask the user whether to proceed or to run $idea-scope-brief first.

3. Marketplace Side Preflight

Before identifying ICP candidates, resolve market-structure side coverage:

• Read any Market Structure Handoff or marketplace/platform/B2B2C/multi-sided notes from the idea brief, especially ## ICP Readiness. Treat side names and value exchange as hypotheses, not validated ICPs.
• If no idea brief exists, infer likely sides from $ARGUMENTS, README, specs, codebase context, or product description when the concept suggests a marketplace/platform/B2B2C/multi-sided model.
• During broad market research, validate or refute the classification with evidence.
• Before candidate generation, write a side-coverage note in the working packet.
• Candidate generation must cover each material side or explicitly explain why a side is excluded.

4. Candidate Bootstrapping

This step runs in Mode A only (skipped when research/icp.md already exists and user chooses to refine).

Broad market research using web search with 8–12 diverse query strategies (direct persona, pain point, market segment, trend, competitor user, forum/community, job posting, industry report, switching trigger, adjacent market, geographic/regulatory, business model, WTP signal, named account searches).

Classify the business model into one or more of: B2B SaaS (PLG), B2B SaaS (SLG), B2C, B2C subscription, marketplace/platform, B2B2C, D2C, open-source/open-core, API/developer-first.

Identify 2–5 ICP candidates. For each, note: who they are, pain evidence, accessibility, value delivery potential, WTP signal strength.

Write candidates to research/_working/preliminary-customer-discovery-research.md.

Checkpoint — Present candidates to the user. Show ICP candidates with evidence. Ask for corrections and missing segments. Incorporate feedback before framework selection.

5. Mode A — Framework Selection

Build an alignment page with mode explanation, ICP candidates summary, available evidence, multi-select framework section (with mode-appropriate defaults pre-checked), execution plan explanation, and approval gate.

After user approval, write selected frameworks as sequential steps in tasks/todo.md:

## Customer Discovery Framework Execution

- [ ] Run `$customer-discovery/frameworks/w3-hypothesis` — Schwartzfarb W3 hypothesis
- [ ] Run `$customer-discovery/frameworks/jtbd-needs` — JTBD needs analysis
- [ ] Run `$customer-discovery/frameworks/four-forces` — Moesta four forces
- [ ] Synthesize: `$customer-discovery --synthesize` — Combine framework outputs into research/icp.md

Only include frameworks the user selected. Always append the synthesis step last.

Stop after writing tasks/todo.md. The user runs $exec to execute each framework sequentially.

6. Mode B — Synthesis ($customer-discovery --synthesize)

Read all intermediate framework outputs (research/customer-discovery-{slug}.md). At least one must exist.

Synthesis mapping — how framework outputs merge into the canonical 9+1 section format:

Cross-ICP handling: Merge per-candidate evidence across frameworks, select primary ICP using seven-dimensions scoring (or value × accessibility matrix), populate Additional ICPs and Cross-ICP Analysis sections.

Build alignment page for synthesis approval. After approval: write research/icp.md and research/icp-search-log.md, then emit next-step routing.

7. Mode C — Discovery Shortcut ($customer-discovery discovery)

Pre-product shortcut. Build alignment page, then after approval write to tasks/todo.md:

## Customer Discovery Framework Execution

- [ ] Run `$customer-discovery/frameworks/w3-hypothesis` — Schwartzfarb W3 hypothesis
- [ ] Run `$customer-discovery/frameworks/jtbd-needs` — JTBD needs analysis
- [ ] Run `$customer-discovery/frameworks/four-forces` — Moesta four forces
- [ ] Synthesize: `$customer-discovery --synthesize` — Write research/icp.md

Stop — user runs $exec.

8. Mode D — Validation Shortcut ($customer-discovery validate)

Product-exists shortcut. Build alignment page, then after approval write to tasks/todo.md:

## Customer Discovery Framework Execution

- [ ] Run `$customer-discovery/frameworks/pmf-engine` — Vohra PMF Engine + HXC
- [ ] Run `$customer-discovery/frameworks/seven-dimensions` — Lincoln Murphy scoring
- [ ] Synthesize: `$customer-discovery --synthesize` — Write research/icp.md

Stop — user runs $exec.

9. Next Steps (after synthesis only)

Recommend the first matching condition as Recommended, remaining as Other options:

• ALWAYS: $competitive-analysis — Research competitors and market gaps for this ICP
• IF no specs/: $competitive-analysis — Map the competitive landscape
• IF specs/ exist but no research/journey-map.md: check pack availability for customer-lifecycle, recommend $journey-map or $pack install customer-lifecycle
• IF codebase exists: check pack availability for business-ops, recommend $mvp-gap or $pack install business-ops
• IF research/competitive-analysis.md exists: check pack availability for product-design, recommend $brainstorm or $pack install product-design

10. Downstream Impact Check

After writing, check existing downstream documents for conflicts. Classify as None/Minor/Major. For Major, recommend $reconcile-research.

Output

Mode A output: tasks/todo.md update + working packet

Mode B output: research/icp.md (or research/{slug}/icp.md)

Canonical 9+1 section format preserved for downstream compatibility. See claude mirror for full template.

research/icp-search-log.md

Raw research log with all queries, findings, evidence, and data gaps.

research/.progress.yaml

Product-path manifest updated when secondary ICPs create parked or promotable paths.

Task Classification

• Immediately actionable → tasks/todo.md
• Human-only external actions → tasks/manual-todo.md
• Condition-gated records → tasks/record-todo.md
• Cadence-based reviews → tasks/recurring-todo.md

Constraints

• Parent does not execute frameworks. It bootstraps candidates, selects frameworks, and synthesizes. $exec handles framework execution.
• Synthesis requires at least one framework output.
• Mode detection is evidence-based.
• Stay in problem space. No features, architecture, UI, or technical solutions.
• Evidence-based. Every claim must trace back to research evidence.
• Primary ICP must use the canonical 9 top-level ## sections for downstream compatibility.
• Section 10 captures behavioural signals only.
• WTP is evidence, not pricing strategy. Route raw signals to $monetization.
• Do not overwrite existing research/icp.md without asking.
• Minimum 8 web search queries before identifying ICP candidates.
• Present before writing.

Alignment Page

Build a full-depth HTML alignment page following ALIGNMENT-PAGE.md in this skill's directory. Output: alignment/customer-discovery-{topic}.html.

Default Shipping Contract

Follow the shared shipping contract convention in CLAUDE.md.