Extract bounded, source-linked context from large files or many inputs. Use when context is too large, files are oversized, or a task needs concise excerpts.
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Capture and develop a reusable skill, tool repair, or behavior improvement noticed while completing a task. Use when instructions are stale, a recurring workflow deserves a skill, or a tool contract fails in practice.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
When a concrete bump exposes reusable knowledge, preserve the evidence before continuing. Prefer completing the user's task; capture a short notice when a separate improvement would interrupt it. Do not create a skill for generic advice or a one-off fact. A reproducible failure can justify repair without waiting for recurrence.
Inspect the relevant existing skill or tool first. Choose:
Use adaptation action notice with kind, path, title, rationale, evidence_indices,
and acceptance. Evidence indices refer to the current episode's recorded evidence.
Include expected behavior, a relevant consumer regression and a counterexample in
the acceptance requirements. Record the corrected command or observed result, not
only your explanation. Example: a skill selects the wrong interpreter; retain the
failed invocation and a successful comparison using the verified interpreter.
Read opportunities to inspect notices and source freshness. A notice is an
agent-authored hypothesis, not approval or verified effectiveness. Its observation
template starts a separate episode scoped to the target. Freeze an executable suite,
build isolation, edit the candidate, evaluate and inspect its diff. Requirements in a
notice do not replace evaluator checks. Adding a source file requires explicit scope
in that episode; capturing a notice never expands the current candidate's scope.
For skills, test applicability and wrong-trigger cases as well as the instructions' commands. Markdown substring tests establish wording only, not behavioral transfer. For tools, retain contract, dependency, original failure and consumer checks. New guidance remains a reviewed candidate until exact-candidate activation is requested. Use verified task-local findings immediately where appropriate, while keeping shared skill installation and the current task's loaded skill version distinct.
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Extract bounded, source-linked context from large files or many inputs. Use when context is too large, files are oversized, or a task needs concise excerpts.
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Inspect SIPS Homebase status, manifest wiring, routes, host visibility, and MCP freshness. Use when asked for SIPS status, command center, host audit, plugin visibility, or whether Homebase is fresh.
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Route a task through SIPS commands, agents, scripts, MCP tools, or bounded delegation. Use when asked to route, split, fan out, escalate, or choose the right SIPS path.
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Turn failures, logs, symptoms, or flaky behavior into a compact repro and verification plan. Use when debugging needs a reproducible failure path.
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Search, inspect, and record SIPS-owned Memory Fabric lessons. Use when a task needs prior lessons, recurring-fix memory, recall health, scoped historical context, or when a just-fixed bump or error should be recorded.
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Plan browser, app, screenshot, or UI checks before visual claims. Use when a task includes app shots, visual QA, generated assets, or runtime UI proof.
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