Triage a competitive or market question into the right intelligence disciplines, cadence, and executing skill. Use when you know something needs researching but not which channel to run.
npx skills add https://github.com/deanpeters/Product-Manager-Skills --skill intel-discipline-advisor
Triage a competitive or market question into the right intelligence response: which of the eight
collection disciplines to run, on what cadence, feeding which artifact, executed by which skill. The
intelligence-collection-disciplines compendium
holds everything about every channel; this advisor answers the question a busy PM actually has —
*"given what's on my desk, which two or three channels matter, and where do my limited hours go?"*
Running every discipline on every question is the failure mode; scoping to the decision is the craft.
The advisor teaches the mapping as it routes, so by your third session you won't need it. That's the
goal.
Works best with: the decision or question on your desk, in your words — "I think [Competitor A]
is building something," "my TAM slide got shredded," "sales keeps getting surprised."
Also useful: any signal you've already noticed (a job posting, a pricing change, an earnings
remark), your time budget, and whether you're limited to free sources.
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 and skip whatever it covers;
don't re-ask.
Arriving empty-handed? That works too. The advisor opens by asking what's on your desk, with
enumerated situations to pick from.
Example invocation: `Intel discipline advisor: two of their senior engineers just followed our
CTO on a preprint server, and their careers page doubled — what do I run?`
workshop-facilitation as thedefault interaction protocol (entry modes, one question per turn, progress labels, numbered
recommendations). This file defines the domain logic.
intelligence-collection-disciplines:every PM artifact has a known discipline mix and refresh cadence. The advisor's job is matching
the user's situation to a row — and *showing the match*, because the mapping is the lesson.
already flagged once — the recommendation starts from "1 discipline flagged" on the confidence
stacking ladder and names which *independent* channels would corroborate (see
autonomous-investigation).
releases change annually. A watch the user can't sustain is worse than none — it produces false
confidence that someone is watching.
customers churn," the answer is win/loss interviews and discovery, not a patent sweep. The advisor
says so.
This interactive skill asks 3 adaptive questions, then offers **numbered, context-aware
recommendations**.
"What's the situation? Pick the closest, or describe your own:
post, a patent, a customer remark? (Whatever you saw is one discipline already flagging; we'll
pick the independent channels that could corroborate it.)"
company's position in it?"
week, a half-day a month, a day a quarter?"
"Two quick constraints: free sources only or is paid tooling available, and any geographic focus?
(Region changes which registries and statistics bureaus apply.)"
Synthesize and offer 3-5 numbered recommendations, each naming: **discipline mix → cadence →
executing skill → artifact fed**, with one line on when it's the right choice. Always show *why* the
disciplines were chosen (the mapping-table logic), and include the off-ramp when it's honest.
Handle single selection, combinations ("1 and 3"), and custom directions per the facilitation
protocol.
Routing quick-reference (from the artifact-mapping table):
| Situation | Discipline mix | Executing skill |
|---|---|---|
| Suspected move | Corroborate the seen signal: TECHINT + HUMINT + SIGINT + FININT, fused | intelligence-collection-disciplines fusion template, then competitive-intel-watch |
| Battle card | SIGINT + OSINT + HUMINT | battle-card-builder, kept fresh by the watch |
| TAM/SAM/SOM | GEOINT/DEMOINT + FININT capture rates | tam-sam-som-calculator Mode 3 |
| Positioning / ICP | OSINT + GEOINT/DEMOINT (+ VoC) | voice-of-customer-miner → positioning-statement |
| Industry structure | FININT + OSINT | porters-five-forces |
| One company's position | OSINT + FININT + HUMINT | swot-analysis or company-intel |
| Pricing question | SIGINT + FININT | pricing-packaging-tracker |
| Macro exposure | GEOINT/DEMOINT + regulatory FININT | pestel-delta-monitor |
| Standing watch | SIGINT weekly, OSINT+HUMINT monthly, FININT+TECHINT quarterly — scaled to stated capacity | competitive-intel-watch |
| The full picture | All of the above, sequenced | competitive-analysis-process |
Close by offering the one-page triage card (template.md) filled in from the
session — the route, its "because," and a review date, as a handoff artifact.
Sample flow (fictional):
> Q1 → User: "1 — I think [Competitor A] is building a data-platform play."
> Q2 → User: "Their careers page doubled, mostly data engineers."
> Q3 → User: "Free sources, US only."
>
> "Your hiring observation means HUMINT has already flagged once — one discipline is an anecdote,
> so the job is corroboration from *independent* channels. Recommendations:
>
> 1. TECHINT sweep this week (patents.google.com + their GitHub org + arXiv affiliations, free) —
> a paper-or-patent cluster in the same specialty as the hiring surge is the strongest fusion pair
> available. *Pick this first: highest corroboration value per hour.*
> 2. SIGINT check, 30 minutes (crt.sh for new subdomains, Wayback diff on their product pages) —
> catches launch staging if this is further along than hiring suggests.
> 3. FININT pass at their next earnings call — listen for capex dodges and segment-language
> shifts; free via their IR page. *Slower, but turns hypothesis into briefable intelligence.*
> 4. Set the watch instead — if this can't get hours this quarter, wire [Competitor A] into
> competitive-intel-watch monthly and let the cadence catch it.
>
> Reply 1, 2, 3, 4, a combination like '1 and 2', or tell me more. (Two agreeing disciplines = working
> hypothesis; three = brief your leadership.)"
The off-ramp in action: user picks "artifact: ICP refresh," but Q2 reveals the real question is
"why did our last three enterprise deals stall?" The honest recommendation leads with win/loss
interviews (HUMINT's ground-truth layer) and discovery-interview-prep
— "no public-web sweep answers a question your own churned prospects can answer better."
See examples/conversation-flow.md for a full end-to-end session:
inline input crediting two of the three questions, a capacity answer that gets believed, a
combination selection, and a "tell me more" that earns a teaching answer.
examples/conversation-flow-industrial.md shows the
routing shift for a physical-world signal — permits and customs data instead of site diffs.
channels matched to the decision beats coverage theater — the mapping table exists so you can skip.
Recommending channels that *re-detect* the same signal type adds no corroboration; independence is
what stacks.
capacity question and believe the answer.
lesson. Every recommendation shows its mapping-table logic — the user should leave better at
triage, not just triaged.
tickets answer some questions better than any public-web sweep; say so when it's true.
intelligence-collection-disciplines (Component) — the compendium this advisor routes into; the pedagogic pairworkshop-facilitation (Interactive) — facilitation protocolautonomous-investigation (Workflow) — confidence stacking and evidence labels the recommendations lean oncompetitive-intel-watch, battle-card-builder, tam-sam-som-calculator, porters-five-forces, swot-analysis, voice-of-customer-miner, pricing-packaging-tracker, pestel-delta-monitor, competitive-analysis-processdiscovery-interview-prep (Interactive) — the off-ramp when the question belongs to discoveryGenerate clinical trial protocols for medical devices or drugs. This skill should be used when users say "Create a clinical trial protocol", "Generate protocol for [device/drug]", "Help me design a clinical study", "Research similar trials for [intervention]", or when developing FDA submission documentation for investigational products.
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This skill should be used when designing autonomous agent harnesses: research loops, evaluation scaffolds, locked and editable surfaces, durable logs, novelty gates, pruning, rollback, PR preparation, and human approval boundaries.
Take deanpeters/intel-discipline-advisor from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.