Install
openclaw skills install @deciqai/signaling-gamesActivate when: user asks 'how do we prove we're high quality when they can't verify it', 'what credential or signal would work here', 'why is everyone spending so much on brand advertising', 'how do we tell who's the real one among these candidates', 'cheap talk isn't working — we need something credible', or describes a market where one side can't verify the other's quality/intentions/type (hiring, fundraising, B2B procurement, branding, M&A due diligence). Do NOT activate when: information is fully symmetric and both parties already know the relevant facts; or the question is about game theory in general without an information asymmetry component.
openclaw skills install @deciqai/signaling-gamesOne party knows something the other cannot verify. Cheap talk fails — anyone can claim high quality. A signal works when its cost differs by type: only a capable worker can bear four years of demanding study; only a quality manufacturer can afford a lifetime warranty. The signal conveys truth exactly when it would be unbearable for the wrong type to fake it. Spence (1973) formalized this; Akerlof (1970) showed what happens when no signal exists (lemons).
Composes with prisoners-dilemma, repeated-games-reputation, and pricing-strategy.
Apply when:
When NOT to use: information is symmetric; signal cost is the same for both types (expense, not signal); one-shot low-stakes interaction where direct verification is cheap.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
[WAIT — do not advance until user responds]
[WAIT — do not advance until user responds]
[WAIT — do not advance until user responds]
Run the Signaling Diagnosis:
# Signaling Diagnosis: <situation>
## Asymmetry: what hidden | who knows | who doesn't
## Types: high type | low type
## Adverse selection: what happens without a signal
## Candidate signals: <signal>: passes/fails single-crossing because <…>
## Recommended signal: <which + cost differential high vs low>
## Equilibrium: separating / pooling / hybrid
## Receiver response: does receiver reward signal-holders?
## Inflation risk: half-life + re-investment plan
## Decoding: what cost is sender actually bearing? failure mode?
→ Method in Action: Michael Spence, "Job Market Signaling," 1973 → 2026 lens: US advanced-chip export controls as a signaling game (2022–2026) — thresholds, the H20/China episodes, and rare-earth countermoves as costly signals of capability and resolve
→ Primary sources: references/sources.md
Applying it well: imitation must be unbearable for the low type. Absence of a signal is itself a signal. Concentrate on 1–2 signals with substantial, sustained differentials.
[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.
| Fake move | Reality |
|---|---|
| [D] "We told them, and they should believe us" | Cheap talk fails by construction — anyone can claim high quality. Find an action whose cost differs by type. |
| [D] "Brand investment is too expensive, let's cut it" | The cost is the signal. Cutting destroys credibility. Plan what replaces it or you have un-signaled. |
| [D] "Cheap signals work too" | Cheap signals collapse to pool. If anyone can do it, its presence is uninformative. |
| [D] Designing a signal without testing single-crossing | The one test: is cost meaningfully lower for the type you want to signal? Without this, it's a marketing expense. |
| [D] "Everyone has this credential — it's the new baseline" | When everyone has it, it has pooled. The strategic move is to invest in the next signal up the cost ladder. |
| [D] Receiving a signal at face value | Decompose the signal; check the actual cost the sender bore. "Ex-Famous-Company" can be heavy or light. |
| [D] Treating signaling and substantive performance as substitutes | Signals clear the asymmetry barrier; underlying quality still has to be there. |
| → Add [O] entries here after each real use — paste the actual failure pattern | What went wrong and why |
Part of deciqAI Knowledge Skills — 164 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/c/signaling-games · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.