cdeust/zetetic-team-subagents/structure-discovery
Claude Code and agent skill by cdeust/zetetic-team-subagents
- community
Checking that the SKILL.md file is still in the repository.
Find the hidden pattern that organizes the mess. Use for "these look related but we can't say how", classification with suspicious gaps, reverse-engineering an undocumented system or format, "is there a symmetry we're not using?", scale-free or fat-tailed data, or generating conjectures from computed special cases.
Install
npx vskill@latest install cdeust/zetetic-team-subagents/structure-discoverySKILL.md
Structure Discovery
Problem shape: many observations, one suspected hidden regularity — an unnamed axis, an unexploited symmetry, an undeciphered format, a topology forced by constraints. The move: make the structure explicit and falsifiable, then let it predict something you haven't seen yet.
Relevant geniuses
| Agent | Use when | |
|---|---|---|
| mendeleev | many known items with a suspected hidden ordering — tabulate, leave explicit gaps, predict the gaps' properties | |
| noether | hidden regularity via invariance — find the symmetry group, quotient the search space, treat symmetry breaking as signal | |
| kekule | components with known connection constraints, unknown structure — count the bonds and let the count force the shape | |
| vonneumann | the problem looks isomorphic to a solved one in another field — find the mapping, import the solution | |
| rejewski | black-box system to reconstruct from outputs — structural invariants, exploit the procedure around the algorithm | |
| champollion | undeciphered format with a partial parallel (bilingual) sample — anchor known fragments and propagate | |
| ventris | no parallel text exists — grid the internal regularities, then test by prediction | |
| poincare | qualitative behavior before quantitative solution — topological equivalence, structural stability | |
| mandelbrot | pattern repeats across scales; distribution has fat tails being treated as mild randomness | |
| ramanujan | need many candidate patterns fast — compute 50+ special cases, conjecture, then mandatory prover handoff (never ship unverified) |
Invocation
- Pick the best-fit agent above. If two or more fit, run
tools/genius-invoker.sh route "<problem>" and take the top ranked match.
- Load it:
tools/genius-invoker.sh invoke <agent> "<problem>", then read
agents/genius/<agent>.md in full.
- Apply the agent's
<workflow>step by step and answer in its
<output-format>. A discovered structure must predict something checkable — a gap's properties, a next case, an invariant — or it is decoration.
- ramanujan output is conjecture by definition: chain a prover
(tools/genius-invoker.sh compose ramanujan lamport -- "<problem>" or hand to dijkstra) before anything ships.
- If no shape above matches, use a built-in agent with the closest
GENIUS:pattern fromrules/agent-routes.jsoninstead.
Refuse when
- The pattern is wanted for a narrative, with no willingness to test its
predictions.
- The data is too sparse to distinguish structure from apophenia — say so.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/structure-discovery/SKILL.md
Popularity
- Repository stars
- 7
- Repository forks
- 3
- 7-day trend score
- 10
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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