e000cfe121
Co-Authored-By: Claude Mythos 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01UH8jPP1zXteddiR9pEd4KE
75 lines
3.8 KiB
Markdown
75 lines
3.8 KiB
Markdown
@./AGENTS.md
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## Company knowledge (onyx & thicket)
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- Company-knowledge questions go to the `onyx` skill first (its description
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says when); its index surfaces pages that direct CQL/JQL misses. Always cite
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source links.
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- Two shortcuts past onyx: Thicket MCP for people lookups (role, team,
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email — its other sections are thin), Confluence CQL for precise
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lookups with known space/title.
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- Same-topic follow-ups: use `onyx answer "..." --session <last session_id>`.
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## Subagents
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**Default to delegating whenever the expected tool output exceeds the
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conclusion the main thread actually needs** — multi-file research, log/data
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analysis, doc review, broad searches, verification runs. The session context
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is the scarce resource; a subagent burns its own context and returns only the
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result. Work inline only for single-fact lookups where file and symbol are
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already known — there, a subagent is pure overhead.
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Use the `Agent` tool. Prefer specialized agent types over `general-purpose`
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when one fits:
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- **`Explore`** — read-only search: *locates* code and facts (reads excerpts,
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not whole files). It does not review or audit; quality judgments stay with
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the parent or a dedicated reviewer.
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- **`Plan`** — implementation strategy, architecture trade-offs.
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- **`fork`** (`subagent_type: "fork"`) — inherits the full conversation
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context, runs in the background, keeps its tool output out of the main
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thread. The tool of choice for "do X with everything you already know, give
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me only the outcome" — no need to re-explain state in the prompt.
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- Agent types not listed as available in the session (e.g. a `code-reviewer`)
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don't exist there — check the available-types list instead of guessing.
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### Behavioral tier (MANDATORY — always set)
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Prefix every `Agent` prompt with one of:
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- `[TIER: FAST]` — return raw results immediately; no internal monologue, no synthesis
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- `[TIER: STANDARD]` — focused implementation logic; minimal preamble
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- `[TIER: DEEP]` — complex reasoning; must conclude with a summary
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### Model selection (relative to the parent, no fixed names)
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Resolution order: explicit `model` param → agent type frontmatter → parent
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inheritance. (`fork` always runs on the parent model; an override is ignored.)
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Model names shift (Opus was the top tier when this was written; Fable and
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Mythos sit above it now), so think in tiers, not names:
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0. **Self-hosted backend (a SessionStart hook says so when `ANTHROPIC_BASE_URL`
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points at the vLLM gateway): never pass `model`.** Aliases do not exist
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there; every subagent inherits the one available model.
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1. **Specialized agent types** (`Explore`, `Plan`, …) keep their frontmatter
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model. Leave `model` off.
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2. **Routine `general-purpose` work** (mechanical edits, bulk lookups,
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verification runs): one tier below the parent, today `sonnet`. Don't pay
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top rates for routine work.
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3. **Judgement work** (research, recommendation, trade-off, review, blinded
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eval judges): the parent's tier, so pass no `model` and let it inherit.
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For "how should X look" questions discuss options first, do not build.
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4. **`haiku`** only for purely mechanical tasks: bulk classification, format
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conversion, summarizing pre-filtered text. Code-semantic work is at least
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`sonnet`.
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### Context hygiene
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- Prefer parallel `Explore` calls over sequential `general-purpose` sessions;
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spawn independent agents in a single message so they run concurrently.
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- Once delegated, don't duplicate: never run the same search yourself while
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an agent is on it, and don't poll — results arrive as notifications.
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- Follow-ups to an existing agent go via `SendMessage` (keeps its context);
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a new `Agent` call always starts fresh — right for unrelated lookups.
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- Summarize subagent findings in the main thread; the raw report is not
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shown to the user, so relay what matters.
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