| name | tesseron-docs |
| description | Authoritative Tesseron documentation lookup via the `@tesseron/docs-mcp` MCP server. Calls `search_docs` to find relevant pages and `read_doc` to fetch the full markdown body when the user asks precision questions about Tesseron protocol or SDK behaviour. Triggers on requests that need an exact spec, not an overview — wire format (JSON-RPC envelopes, `tesseron/hello`, `tesseron/welcome`, `tesseron/resume`, `actions/progress`, `actions/cancel`), transport framing, handshake and claim-code flow, session resume and resumeToken, lifecycle transitions, sampling contract, elicitation contract (`ctx.confirm`, `ctx.elicit`), progress + cancellation via `AbortSignal`, error codes (`TesseronErrorCode`, `SamplingNotAvailableError`, `ElicitationNotAvailableError`, `TimeoutError`, `CancelledError`, `ResumeFailedError`), capability negotiation, origin allowlist, multi-app namespacing, MCP gateway config, Standard Schema (Zod, Valibot, Typebox) integration, action-builder steps, resource read/subscribe, React hook semantics. Use phrases like "what error code does X return", "what does tesseron/hello look like", "exact handshake shape", "resumeToken flow", "gateway origin allowlist", "show me the spec for", "what fields does X accept". The `framework` skill handles orientation and the mental model; `tesseron-docs` handles chapter-and-verse questions. |
Tesseron docs
This skill is the on-demand, authoritative lookup path for Tesseron documentation. Whenever precision matters (exact wire-format envelope, specific error code, fields a handshake carries, structural contract of resume) prefer calling the MCP tools below over recalling from memory or the framework skill's cheat sheet.
How to use
The plugin bundles @tesseron/docs-mcp at install time, so these tools are normally already connected in Claude Code as mcp__plugin_tesseron_tesseron-docs__*:
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Search first. Call search_docs({ query, limit }) with the user's question as-is (or a short paraphrase that keeps the load-bearing nouns). It returns ranked hits with slug, title, description, score, and a ~240-char snippet. limit defaults to 8 and caps at 20; 4-8 is the sweet spot.
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Read the top hit. Call read_doc({ slug }) on the first promising hit. It returns the full markdown body plus structured frontmatter (title, description, section, related). Quote the exact spec text into your answer instead of paraphrasing it.
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Walk the graph if the answer is cross-cutting. The related field in read_doc's response is a slug list. Follow those edges with more read_doc calls when a single page does not cover the question. Typical example: protocol/resume is incomplete without protocol/handshake and protocol/transport.
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Fall back to list_docs only when the user wants the full catalogue ("what are all the protocol pages?") or when search_docs keeps missing the page you expect.
When not to use this skill
- For orientation or mental-model questions ("what is Tesseron?", "how does the SDK fit together?", "which consumer package should I use?") — load the
framework skill. That skill is a cheat sheet; this one is a manual.
- For project-integration tasks ("add Tesseron to this app", "switch to
@tesseron/react", "upgrade versions") — load the tesseron-dev skill.
- For codebase mapping or review — load the
tesseron-explorer or tesseron-reviewer skill. They read the project, not the docs.
Fallbacks when the MCP server is not configured
If calls to mcp__plugin_tesseron_tesseron-docs__* fail (e.g. the user has disabled the MCP server) fall back in order:
- Read directly from
docs/src/content/docs/**/*.{md,mdx} if the workspace is the Tesseron monorepo itself.
- Fetch the deployed site:
https://brainblend-ai.github.io/tesseron/llms-full.txt has the complete docs as plain text; https://brainblend-ai.github.io/tesseron/<section>/<slug>/ serves the rendered page.
- Defer to the
framework skill's bundled reference files (plugin/skills/framework/references/*.md).
Never answer precision questions from training data alone without noting that you could not retrieve the current spec.
Citing sources
When you read a page via read_doc, cite it by slug and link the hosted URL so the user can verify. Example:
Per protocol/handshake (https://brainblend-ai.github.io/tesseron/protocol/handshake/), the welcome frame carries sessionId, claimCode, resumeToken, and the negotiated capabilities.
The slug is stable; the published URL tracks the same path.