SuperAPI AI Directory

mem-load

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Updated 10-16 05:05

About this skill

Memory Load

Load relevant domain knowledge before starting work. This ensures confirmed rules are applied and testable hypotheses are tracked.

Steps

  1. Read the index — read knowledge/INDEX.md to see all available domains
  2. Match domains — identify which domains are relevant to the current task based on the user's request, file paths, and topic keywords
  3. Load rules — read rules.md in each relevant domain. These are confirmed patterns (5+ confirmations). Apply them by default without being asked
  4. Load hypotheses — read hypotheses.md in each relevant domain. Note which ones could be tested or observed during this task
  5. Brief the user — one-line summary:
Loaded: [domain1] (N rules, M hypotheses), [domain2] (N rules, M hypotheses)
Watching: [hypothesis that could be tested today]

What to Do With Loaded Knowledge

  • Rules: Follow them. They're confirmed patterns. If a rule conflicts with the current task, note the conflict but still follow the rule unless the user explicitly overrides
  • Hypotheses: Watch for confirmation or contradiction during the task. Don't change your approach based on hypotheses — they're unconfirmed. Just observe and note for /mem-save later
  • Knowledge: Use as context. These are facts that help you understand the codebase

Load multiple domains when tasks span boundaries. When uncertain, load the domain — better to have context you don't need than miss a rule you should follow.