Write a new .jinx file from inputs (name, description, inputs spec as JSON list of strings, python body). Agents use this mid-task to crystallize a repeated block of code into a reusable jinx. The jinx is written to the team's jinxes/lib dir by default and registered with the running team so it is immediately callable…
Skill for searching and evolving the SQLite-backed Knowledge Graph. Use this when you need structured fact/concept/link search across one or more teams, NPCs, or directory scopes. The Knowledge Graph (KG) is stored in the application's database (not YAML). It is scoped by (teamname, npcname, directorypath). Facts and…
Skill for using the KnowledgeIndex registry to discover which directories contain .knowledge.yaml files without walking the filesystem. KnowledgeIndex is a lightweight SQLite cache. It maps directory paths to file metadata (mtime, memorycount, linkcount). The database path is caller-provided — npcpy does not hardcode…
Skill for population-based Knowledge Graph evolution via Sememolution. Use this when the user wants creative cross-domain synthesis, speculative reasoning, or when a single KG search might be too narrow. Sememolution maintains a population of KG "individuals". Each individual has its own graph (different facts…
Skill for working with local .knowledge.yaml files via KnowledgeStore. Use this when you need to recall, search, or manage directory-local memories and knowledge links stored in plain YAML alongside the user's project files. KnowledgeStore is directory-scoped. Each directory that contains a .knowledge.yaml file…
Execute a jinx by name (already loaded on the team) or by filesystem path (e.g. a freshly createdjinx that isn't yet registered), passing input values as a JSON object. Returns the jinx's output field or the full context dict. Use this to run a jinx you just wrote without exiting the session.