skills/autonomous-investigation/SKILL.md
The protocol behind every investigation skill. Use when AI research must proceed without you: search-plan gate, Fact/Inference/Assumption labels, confidence stacking, diffable outputs.
npx skillsauth add deanpeters/Product-Manager-Skills autonomous-investigationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Provide the canonical contract for investigation skills — research the AI performs in the world (web
search, published data, public filings) while you review the evidence instead of feeding it context.
Where workshop-facilitation governs skills that ask you questions one at a time, this protocol governs
skills that proceed without you: they budget their questions, show their plan, label every claim, and
produce output stable enough to diff against last quarter's run. That last property is the payoff — an
investigation honoring this contract can run as an agent task, in a loop, or on a schedule.
Nothing required — this skill defines the protocol other investigation skills follow. Also useful when invoked standalone: the target of the investigation and, above all, the decision the research should support. Research without a decision is a hobby; every investigation skill asks for the decision because it determines what "just enough" means.
Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an
appended ARGUMENTS: line — counts as answers already given. Use it, credit it against the question
budget, and don't re-ask.
Arriving empty-handed? That works too. The protocol's whole design is to proceed on best-available evidence with labeled assumptions when nobody answers questions. When another skill references this protocol, that skill's Input section governs what to provide.
Example invocation: Run an autonomous investigation on [TARGET]'s move into workflow automation — this supports our Q3 roadmap bet on the same space.
| | workshop-facilitation | autonomous-investigation |
|---|---|---|
| Who holds the context | The user | The world (public sources) |
| Interaction shape | One question per turn | Question budget, then proceed |
| Blocked by silence? | Yes — waits for answers | No — labels assumptions and continues |
| Schedulable? | No | Yes — that's the point |
Every investigation skill honors all seven clauses. They are not a menu.
Question budget — a hard cap (usually 3) on clarifying questions. When the budget is spent or nobody answers, proceed with labeled assumptions. This is what makes investigations schedulable: an unattended run degrades gracefully instead of stalling.
Search-plan gate — before researching, show a 3-bullet plan: what you'll search, which source types, how you'll separate fact from inference. Continue unless the user revises it. Why it teaches: reviewing a plan takes 10 seconds; reviewing a wrong report takes 10 minutes. The gate is the cheapest correction point in the whole workflow.
Evidence labels — every key claim carries exactly one label:
Do-not-invent list — each investigation skill names its domain's specific fabrication risks (competitors, pricing, market share, patent contents, customer wins...) and forbids inventing them. Real, checkable URLs only; a claim without a source and date is an opinion wearing a badge. Why it teaches: the list tells the human exactly what to verify first.
Just Enough Mode — default output is the strongest findings in short bullets, sized to the decision. Verbose Mode exists only on request. Research value is decision support, not page count.
Stable output schema — section order and structure never drift between runs, so run N and run N+1 are diffable. Delta monitoring, scheduled refreshes, and "what changed since last quarter" all depend on this clause.
Final Step block — end with exactly 4 numbered next options (artifacts to build, deeper passes
to run, assumptions to validate). Accept 1, 1 and 3, Verbose Mode, or a custom path.
Labels grade individual claims; stacking grades the story. When signals arrive from independent
collection channels (see intelligence-collection-disciplines):
1 channel flags it → Watch item. Log it, do nothing.
2 channels agree → Working hypothesis. Assign someone to probe.
3+ channels agree → Actionable intelligence. Brief leadership, adjust plans.
Channels conflict → The most interesting case. Someone is bluffing. Dig.
One corollary that generalizes everywhere: treat announcements as intent until funding, procurement, hiring, or contracts corroborate them. Ambition shows up in press releases; commitment shows up in filings, job posts, and purchase orders.
All collection under this protocol is legal, ethical, open-source work:
The rule of thumb, borrowed from the competitive-intelligence profession (SCIP Code of Ethics): if you'd be uncomfortable explaining your method on stage at the target's user conference, don't use the method.
A copy/paste investigation brief — the contract's seven clauses as fill-in decisions, for
briefing an agent or designing a new investigation skill — lives in template.md.
Opening of a protocol-honoring run (user gave target + decision inline, so no questions spent):
Search plan (say "revise" to change it):
- Search [TARGET]'s pricing pages, release notes, and last two earnings transcripts
- Source mix: company site, filings, credible press, review sites
- Facts get URLs; interpretations get labeled Inference; gaps become Assumptions to validate
(research happens)
Key finding: [TARGET] removed its mid-tier plan in May — Fact (pricing page diff, May 12). Packaging is consolidating toward enterprise — Inference (tier removal + two enterprise-only features shipped since April). They will raise the entry price within two quarters — Assumption (pattern-based; validate against their next pricing-page change).
Final Step — reply 1, 2, 3, 4, a combination, or "Verbose Mode":
- Build the battle card from these findings
- Executive comparison matrix
- Risks/opportunities for the next 2 quarters
- Discovery questions to validate the assumptions
A scheduled run with no human present: the same skill runs quarterly from a saved invocation. The question budget is already spent (zero questions — context was inline), the plan gate auto-continues, and the output diffs cleanly against last quarter because the schema didn't move. The delta — not the report — is what the team reads.
See examples/protocol-in-action.md for a full worked run
(fictional) showing every clause under load — including a user revising the search plan at the
gate and an honest gaps list where the do-not-invent list held.
examples/protocol-in-action-industrial.md shows the
conflict case: four channels agree, one disagrees, and the dig changes the strategic response.
intelligence-collection-disciplines (Component) —
the eight collection channels whose signals this protocol labels and stacksworkshop-facilitation (Interactive) — the sibling protocol for
skills where the user holds the contextmarket-landscape-scan, competitive-research-snapshot,
competitive-intel-watch, battle-card-builder (References section of each names this protocol)https://github.com/deanpeters/product-manager-prompts repo.data-ai
Mine public reviews, app stores, and forums for unmet needs, competitor weaknesses, and switching triggers — with quoted evidence. Use when you want customer voice without waiting on interviews.
development
Build an evidence-cited SWOT of one company — yours or a competitor's — from public sources, ending with the S-O/W-T crossings. Use for strategy reviews, board prep, or competitor depth.
testing
Track competitor pricing and packaging as a diffable time series. Use when monitoring tiers, gates, limits, and price moves on a monthly or quarterly cadence.
documentation
Read an industry's structure through Porter's Five Forces with documented signals per rating, ending at the profit pool. Use when weighing market entry or when margins erode and nobody can say why.