codex/skills/latent-diver/SKILL.md
Use before convergence for non-obvious but testable frames, analogies, inversions, or recombinations. Produces bounded frame packets with proof signals, assumptions, risks, and handoff guidance. Do not use for final selection, execution, routine brainstorming, wording polish, or option portfolios unless unusually distant frames are explicitly requested.
npx skillsauth add tkersey/dotfiles latent-diverInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this skill to escape the obvious answer basin before converging on an answer, recommendation, concept, strategy, artifact, or plan.
"Latent space" is operational, not a claim of hidden-state access. It means deliberate movement through distant conceptual neighborhoods: analogies, inversions, substrates, constraints, interfaces, incentives, proof artifacts, neglected assumptions, and taboo-but-groundable possibilities.
The goal is not to prove that an idea is globally original, best, or inherently valuable. The goal is to produce locally promising, strange-but-useful frames bounded by context, assumptions, risk, and first proof signals.
Use this skill when the user asks for:
Do not use this skill as the primary tool for:
dominanceaccretivecreative-problem-solverIf the user explicitly invokes latent-diver, use it, but still scale output to the smallest tier that fits.
Never make an unbounded claim that a frame is "original," "best," "high-potential," "the answer," or "the future."
Use bounded creative claims:
Given the prompt, context inspected, assumptions listed, and proof signals available, this frame appears unusually promising for [specific objective]. Remaining uncertainty: [specific gaps].
A local promise claim is allowed only when it names the objective, inspected context, assumptions, proof signal, and residual uncertainty.
Use the workflow as discipline, not theater. The public answer should include only sections that create useful judgment. Omit probes, scores, and template fields that produced no discriminating insight.
For most D1-D3 uses, prefer this compressed shape:
For small tasks, use a micro-dive.
Default to the lowest tier that honestly fits. Escalate when the idea affects money, law, health, security, reputation, privacy, infrastructure, organizational commitments, public claims, irreversible decisions, or user trust.
Examples: names, taglines, phrasings, small copy variations, lightweight angles, low-stakes stylistic alternatives.
Behavior: micro-dive, brief obvious basin, 3-5 unusual alternatives, optional ranking, no full packets unless requested.
Examples: one essay angle, feature idea, small product concept, tactical reframing, local design choice, presentation hook, prompt/workflow/artifact improvement.
Behavior: compact dive, obvious basin, 2-4 compact frame packets, light pressure test, one best local frame when warranted, first proof signal.
Examples: product strategy, startup idea, research agenda, architecture direction, brand positioning, educational program, marketplace design, long-form thesis, organizational strategy, non-trivial skill or workflow redesign.
Behavior: full workflow, creative bounds, context boundary, distinct frames, scoring, recombination, blast radius, validation ladder, residual uncertainty.
Examples: legal, medical, financial, security, or policy strategy; public launches with reputational risk; trust-sensitive product behavior; safety-sensitive systems; organizational decisions materially affecting people; anything involving compliance, surveillance, payments, privacy, production access, or regulated claims.
Behavior: do not recommend execution from divergence alone. Produce a divergent map, validation plan, risk surface, and owner questions. Mark the idea as a hypothesis until domain-specific verification occurs. Prefer reversible probes over prescriptions.
The skill should increase originality without turning low-risk creative work into bureaucracy.
Use the full workflow for D2 and D3. For D0 and simple D1, compress aggressively.
Define:
If instructions are incomplete, infer the smallest reasonable scope and mark assumptions explicitly.
Name 3-5 obvious answers the model or field is likely to produce. For each, state why it is insufficient: saturated, imitative, low-leverage, overfit to convention, verbally fresh but structurally ordinary, missing the deeper constraint, or solving the wrong layer.
The surface scan prevents premature convergence. It is not the answer.
Inspect or infer the creative dependency surface:
Do not invent hidden history, market facts, stakeholder preferences, or external evidence. If important context is unavailable, say so and narrow the claim.
Generate candidate frames from productive probes. Do not force every probe into the public answer. For D2 and D3, run enough probes to escape the local basin, then output only meaningfully distinct survivors.
| Probe | Move | Useful questions | |---|---|---| | Substrate shift | Move the problem to another layer. | Is this treated as content when it is interface, product when it is distribution, decision when it is incentive, strategy when it is proof artifact, execution when it is trust boundary? | | Constraint inversion | Make the hardest constraint the design center. | What if the limitation is the advantage, the embarrassing constraint is the signature, the scarce resource is the organizing principle, or the slow/manual step is the value? | | Alien discipline | Borrow primitives from an unrelated field. | What transfers structurally: incentive, boundary, feedback loop, ritual, topology, failure mode, proof standard, or coordination mechanism? | | Adversarial frame | View through an opponent, exploit, critic, regulator, or failure mode. | Who wants this to fail? How is it exploited? What incentive does it accidentally create? What would a sophisticated critic attack? | | Interface frame | Find a new boundary, API, ritual, affordance, permission layer, or feedback loop. | What should be legible, self-serve, slower, harder, explicit, or moved from explanation into affordance? | | Time-shift frame | Change the time scale. | What is obvious 10x earlier, 10x later, 10x smaller, 10x larger, or after five years of hindsight? What primitive makes future work cheap? | | Taboo frame | Explore what feels wrong, gauche, naive, impolite, unfashionable, or too direct but might work. | Why does the taboo exist? Which part is real constraint versus stale convention? How can it become a groundable mechanism without violating safety, law, privacy, consent, or trust? | | Proof artifact frame | Ask what artifact would make future insight cheap. | Could a prototype, benchmark, rubric, simulator, toy model, eval set, checklist, dataset, fake-door test, mock API, landing page, memo, red-team script, interview protocol, or concierge version create evidence? |
A borrowed frame must map mechanistically, not just metaphorically.
For D1 and higher, package each serious candidate so another skill or human can judge it without reconstructing the whole dive.
A complete packet contains:
creative-problem-solver, dominance, accretive, verification, or human ownerThe packet is the handoff object. Downstream skills should receive packets, not clever phrases.
Score serious frames from 1-5 only when scoring helps selection. Otherwise summarize survival logic.
| Dimension | 1 | 3 | 5 | |---|---|---|---| | Semantic distance | Same basin, new wording. | Different mechanism, interface, incentive, or proof surface. | Different substrate, game, stakeholder map, or operating logic. | | Usefulness | Interesting but no clear objective link. | Plausible improvement under assumptions. | Directly attacks a load-bearing constraint or opens a proof path. | | Proofability | Needs vague future success or major buildout. | Testable with a small artifact, mock, interview, prototype, or benchmark. | Quickly falsifiable by a concrete observable result. | | Context fit | Violates known constraints or stakeholder realities. | Plausible but depends on missing context. | Fits known constraints and names tacit risks. | | Accretion | Disposable idea; little remains if it fails. | Leaves behind a reusable artifact, rubric, learning, or decision aid. | Compounds future work even if the hypothesis is wrong. | | Risk | Low downside; reversible. | Manageable downside; needs care or owner review. | High or unclear blast radius; do not execute from divergence alone. |
Risk is not an additive positive score. Lower risk is better unless the user explicitly asks to explore risk itself.
Elimination gates:
deep signal or do-not-execute-yet; do not recommend execution.do-not-execute-yet unless risk exploration is the assignment.When it improves the result, combine the top 2-3 surviving frames into 1-3 hybrid moves. Each hybrid should include the strange insight, practical mechanism, first proof signal, likely failure mode, key assumption, smallest reversible version, and downstream handoff.
A good hybrid feels surprising in framing and almost boring in execution because someone can actually test it.
For D2 and D3, check indirect effects before recommending a next step:
Also look for missing owner knowledge: prior attempts, brand/taste constraints, regulatory boundaries, politics, channel limitations, community norms, operational capacity, hidden dependencies, existing rituals, and known failure modes.
If blast radius or tacit context is unknown, narrow the recommendation to a reversible probe or human-question list.
For the best surviving frame, define a ladder from cheap signal to stronger evidence:
accretive handoffA proof signal is not proof of global correctness. It is evidence within a bounded context.
Classify the strongest surviving frame as one of:
accretive because one candidate clearly survivesThe resurfaced frame should be the strongest bounded creative claim, not necessarily the strangest idea.
Use handoffs deliberately:
creative-problem-solver.dominance.accretive.glaze once.asi only as ambition expansion, then collapse to a concrete mechanism, interface, proof surface, or strategy.When in doubt between dominance and accretive, use dominance for choosing among candidates and accretive for making one chosen candidate compound.
Use Review Mode when the user provides an existing idea, plan, strategy, draft, concept, proposal, prompt, workflow, or skill and asks whether it is original, strong, surprising, deep, differentiated, or worth pursuing.
Do not immediately replace the idea. First inspect it:
For skills, workflows, prompt contracts, or orchestration artifacts, also inspect:
Match output to tier and intent. Use headings when they improve readability. Do not expose hidden scratch work.
## Micro-Dive
- **Obvious basin:** [brief]
- **Unusual options:** [3-5 options]
- **Best bet:** [one recommendation, if useful]
- **Why it works:** [short rationale]
## Compact Latent Dive
### Surface Scan
- [Obvious answer + why insufficient]
### Compact Frame Packets
- **[Frame name]:** [mechanism]
- **Proof signal:** [smallest observable/artifact]
- **Risk/assumption:** [short]
### Best Frame
[Chosen packet or top 2 if no single candidate dominates]
### First Proof Signal
[Smallest evidence-generating action]
### Remaining Uncertainty
[Specific unknowns]
## Latent Dive
### Creative Bounds
- **Objective:**
- **Non-goals:**
- **Known constraints:**
- **Assumptions:**
- **Usefulness criterion:**
### Surface Scan
- [3-5 obvious answers and why insufficient]
### Context Boundary
- **Context inspected:**
- **Context missing:**
- **Tacit constraints suspected:**
### Candidate Frame Packets
[2-5 meaningfully distinct packets]
### Pressure-Test Summary
[Scores only if useful; otherwise survival logic]
### Recombined Moves
[1-3 hybrids, each with mechanism, proof signal, failure mode, assumption, and smallest reversible version]
### Best Frame
[deep signal / bridge move / dominant candidate / validation-first candidate / do-not-execute-yet]
### Why This Is Non-Obvious
[Specific departure from the obvious basin]
### Validation Ladder
- **Smoke signal:**
- **Prototype artifact:**
- **Disconfirmation test:**
- **Adoption signal:**
- **Escalation signal:**
### Bounded Claim
Given [context/assumptions/proof signals], this frame appears promising for [objective]. Remaining uncertainty: [specific gaps].
### Recommended Handoff
[creative-problem-solver / dominance / accretive / glaze / verification / human owner]
## High-Consequence Latent Dive
### Creative Bounds
- **Objective:**
- **Non-goals:**
- **Known constraints:**
- **Assumptions:**
- **Stakes:**
### Divergent Map
[Frames worth considering]
### Risk and Blast Radius
[Trust, legal, privacy, operational, reputational, financial, safety, or compliance exposure]
### Tacit-Context Gaps
[Unknown owner knowledge, constraints, commitments, or domain facts]
### Validation-First Candidate
[Best reversible probe]
### Do Not Execute Yet Because
[Specific reasons execution would be premature]
### Human Questions
[Questions needed before commitment]
### Bounded Claim
Given [context/assumptions], this frame is worth investigating, not executing. Remaining uncertainty: [specific gaps].
Before this idea is safe to treat as a serious candidate, a human owner should answer:
Avoid:
accretive before dominanceA successful use leaves the user with:
Dive beneath the obvious answer basin, surface strange-but-useful frames, bind them to context and proof, then hand the strongest bounded packet to the right convergent next step.
testing
Use before local patching when bugs, regressions, malformed state, crashes, parser failures, migrations, cache drift, protocol problems, compatibility requests, tolerant readers, fallbacks, coercions, retries, catch-and-continue logic, or local workarounds may broaden accepted invalid state.
testing
Use for bug reports, PR/issue prose, reviewer comments, user diagnoses, generated summaries, memories, retrieved context, public tracker context, claimed root causes, proposed fixes, fake-minimal repro risk, or any investigation where natural-language context could anchor the implementation scope.
development
Use when non-trivial work needs Challenge Escalation, latent-intelligence activation, frame-market selection, doctrine operators, dominant-move selection, ablation/surface-tax judgment, reification, review comment law, negative capability, route receipts, or proof-bearing refusal to mutate.
development
Apply Algebra-Driven Design. Use for ADD, denotational design, combinator models, law-driven architecture, domain algebra, property tests, codebase modeling, event sourcing, workflow design, or agentic skill design. If the canonical bundle is unavailable, use this wrapper as the minimal ADD kernel and report the missing bundle path.