skills/wc-archetype-mutation/SKILL.md
The mutation operator for the FIFA World Cup Fantasy evolution engine. Applies small, bounded, feasibility-preserving perturbations to a recombined offspring squad/plan — swap one differential for an adjacent-price alternative, reorder the bench by kickoff, shift one captain-ladder step, try one fixture-swing transfer, nudge one enabler. Mutation rate is low by default and raised on demand by the diversity governor when the population has collapsed. Each mutation stays inside budget/nation/formation feasibility. Use in the mutate stage after recombination, or when wc-population-diversity calls for more exploration.
npx skillsauth add lyndonkl/claude wc-archetype-mutationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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The mutation operator from the genetic loop (evolution-protocol.md). After recombination has fused the best blocks, mutation explores the neighbourhood of each offspring — small perturbations that might find a slightly better local arrangement or, when the diversity governor raises the rate, push an offspring away from a collapsed template. It is the explore side of the explore/exploit dial.
mutation_rate (default low, e.g. ~1 perturbation per offspring; raised by wc-population-diversity to ~2–3 when collapse is detected).| Move | What it does | When apt | |---|---|---| | Differential swap | replace one BB4 pick with an adjacent-price, similar-EV alternative of lower ownership | exploring the rank axis; diversity-injection toward differential | | Enabler nudge | swap a BB5 enabler for an equal-price guaranteed starter with a marginally better fixture | freeing optionality without touching value blocks | | Captain-ladder shift | reorder one step of MB2 (promote a different day-2 captain candidate) | matchday plans; exploring captaincy variance | | Bench reorder | re-rank MB3 bench by a refined kickoff/likely-points read | improving manual-sub optionality | | Fixture-swing transfer | for a transfer plan, try one alternative in→out pair targeting a steeper fixture delta | exploring A4-style edges | | Formation flex | shift the XI between two valid formations (e.g. 3-4-3 ↔ 3-5-2) the same 15 supports | exploring attack/defence balance |
- [ ] 1. Read offspring + mutation_rate + constraints
- [ ] 2. Pick `rate` moves, biased by any diversity-injection target passed in (e.g. "push toward differential")
- [ ] 3. Apply each move; re-check feasibility (budget, nation cap, formation, 15-man shape)
- [ ] 4. Reject any move that breaks feasibility or destroys a building block; retry an alternative move
- [ ] 5. Emit the mutated offspring + a mutation log (what changed, why)
wc-population-diversity passes an injection target ("move toward high-variance / differential"), bias move selection that way.mutated_offspring: <candidate>
mutation_log:
- move: differential_swap
change: "BB4: out [player A, 12% owned] → in [player B, 4% owned, similar xEV]"
rationale: "diversity injection toward differential; raises ceiling variance"
feasibility_ok: true
testing
Cluster a conference's event records into a small set of coarse themes with finer sub-clusters, an explicit outlier bucket, and soft (multi-membership) affinities — using the hybrid embed-then-label pipeline (embed abstracts, reduce, density-cluster, then LLM-label the clusters) when embedding libraries are available, and an LLM-reasoned hierarchical fallback when they are not. Embeddings do the grouping; the LLM only names the groups. Conference-agnostic. Use when turning structured event records into a navigable theme map for preference elicitation and scheduling, when you need 6-8 reasonable themes rather than 20 muddy ones, or when overlapping talks must belong to more than one theme. Trigger keywords - theme clustering, cluster talks, embed then label, soft membership, outlier talks, conference themes, topic map.
development
Build a personal conference schedule as a constraint-optimization problem — hard constraints (no time overlap, room-to-room travel time, capacity/registration, the attendee's own must-attends and blackouts) plus a user-owned weighted objective trading interest against breadth, pacing (maximize contiguous free time), and serendipity. Surfaces unbreakable conflicts (two high-value overlapping talks the model cannot rank) as decisions for the human rather than silently picking, and reports what each choice traded away. Conference-agnostic. Use to turn a preference profile plus a theme map into a day-by-day plan, to resolve overlapping sessions, or to balance a packed vs paced schedule. Trigger keywords - schedule optimization, conference schedule, constraint optimization, overlapping talks, contiguous free time, conflict surfacing, packed vs paced.
development
Parse a heterogeneous conference program (markdown, HTML, PDF-derived text, or JSON) into normalized event records with per-field confidence scores and independent classification axes (topic, depth, format, prerequisites, recorded, capacity). Detects the program's format before extracting, treats every inferred field as uncertain (present vs inferred vs missing), and flags thin or missing abstracts so downstream enrichment can target them. Conference-agnostic. Use when ingesting a conference or event schedule into a structured store, normalizing a talk/session list, or extracting per-session metadata with calibrated confidence. Trigger keywords - program ingestion, parse schedule, session extraction, event records, conference program, talk metadata, per-field confidence.
development
Build a personalized preference profile from a small number of well-chosen, cluster-grounded questions instead of a long survey. Represents the person's interests as an uncertainty region over the theme map, picks the single highest-information-gain choice-based question (contrasting real talks from different clusters), balances exploiting known interests against exploring uncertain ones, deliberately injects outlier probes to fight selection bias, and stops as soon as the schedule would be stable. Also elicits the user-owned objective weights and hard constraints. Interactive — runs where it can actually ask the person. Conference-agnostic. Use to turn a theme map into a preference profile, to decide what to ask a conference attendee, or to elicit scheduling priorities. Trigger keywords - preference elicitation, ask few questions, information gain, choice-based questions, selection bias probe, objective weights, attendee preferences.