executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
memory-managementApply memory management as a bounded agent workflow while preserving user intent, privacy, and host capabilities. Use when the user explicitly requests memory management behavior or files.
Independent GitHub snapshot · Automated classification · Original documentation governs
Use this Skill to produce a bounded, verifiable Memory Management outcome. Preserve the user's chosen stack, source material, and authorization boundaries.
Read the SandBase API map only when the task genuinely needs an external data source or generative model.
Keep the core Memory Management work local. Use SandBase only for external content or model inference explicitly requested by the user.
sandbase_discover with a short capability query.sandbase_inspect for viable candidates and compare the live schema, coverage, limits, output, execution mode, and price.sandbase_account before an approved multi-call batch and call sandbase_run only with current schema-defined arguments.sandbase_run_get using the same run ID; never resubmit merely because it is pending.sandbase_runs only to recover status or reconcile observed cost.If SandBase is unavailable, continue with local work and authorized sources when possible. Do not silently switch providers, fabricate external results, or claim a generation or retrieval succeeded.
Provide the completed artifact or findings, concise reproduction steps, checks actually run, source or asset provenance, SandBase endpoint and run IDs when used, observed cost when available, and any follow-up that still requires user action.