8db8e6a3c8
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017wcGPTAnGpH7wFGXCGQjtw
66 lines
3.6 KiB
Markdown
66 lines
3.6 KiB
Markdown
@./AGENTS.md
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## Company knowledge (onyx & thicket)
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- **Onyx (skill) is the default for any company-knowledge question** —
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processes, products, services, systems, teams, ownership, "wie
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machen wir X bei Seibert". Its semantic index surfaces pages that
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direct CQL/JQL search misses, and `answer` (the default mode) also
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reaches org data via Thicket/Sourcebot/HubSpot. Use `search` only
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when you need the source text itself. Always cite 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 (override only when needed)
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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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1. **Don't override specialized agent types** (`Explore`, `Plan`, etc.) — their frontmatter is tuned. Leave `model` off.
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2. **For `general-purpose` under an expensive parent (Opus/Fable): set `model: sonnet`** — don't pay top rates for routine subagent work.
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3. **A bigger model (`opus`)** on a subagent only when isolated context *and* reasoning beyond what the parent can easily do inline are both needed.
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4. **`model: haiku`** only for mechanical tasks: bulk classification, format conversion, summarizing pre-filtered text. Code-semantic work → 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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