skills/wc-tournament-state/SKILL.md
Reads and updates the FIFA World Cup Fantasy tournament state machine (footballfantasy/context/tournament-state.md) — the temporal backbone tracking phase (pre-tournament → group MD1-3 → R32 → R16 → QF → SF → final), budget ($100m group / $105m knockouts), nation cap (3 group, loosening in knockouts), chips remaining, surviving nations, each owned player's elimination-risk horizon, and deadlines. Validates state on load (count/feasibility checks), applies phase transitions, and appends to the append-only state log (never silent overwrite). Use to load state at the start of a run and to commit state changes after the manager makes a move.
npx skillsauth add lyndonkl/claude wc-tournament-stateInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Owns footballfantasy/context/tournament-state.md. The World Cup is a month-long state machine and tracking it correctly is a core deliverable — budget rises at the knockouts, the nation cap loosens as teams are eliminated, five chips burn down once each, and every owned player has an elimination horizon that caps his value. This skill is the single writer of that file (everyone else reads it).
tournament-state.md. Parse: current phase, round id, next deadline, budget, squad value, in-the-bank, nation cap, free transfers, chips remaining, surviving nations, owned-player exposure.tracker/chip-ledger.md.p_advance; re-flag exposure for owned players whose nations are now out (these are forced-transfer candidates).YYYY-MM-DD HH:MMZ — phase — what changed — why. Never overwrite log history — it's how we reconstruct what was true at each decision.tracker/chip-ledger.md and squad changes to context/squad.md.For every owned player, maintain elimination_risk_round = the earliest round his nation could be knocked out (from fixtures/progression-odds.md). This is the horizon on that asset's value and the transfer-strategist's primary watch list. When a nation is eliminated, immediately flag its players as dead — transfer out next window and surface them to the Director.
- [ ] LOAD: parse → validate → return state + flags
- [ ] UPDATE: apply change → run transition rules if phase changed → rewrite fields →
append state-log line → mirror to chip-ledger / squad.md
tournament-state.md. Prevents drift.league-config.md).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.