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Gap Analysis (TanStack)
Audit TanStack AI provider adapters for feature parity gaps and outdated model lists. Triggered as /gap-analysis <provider|feature <name>|models|--all>. Produces a dated markdown report under .agent/gap-analysis/. Maintainer tool — does not edit feature-support.ts or model-meta.ts directly.
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---
name: gap-analysis
description: >
Audit TanStack AI provider adapters for feature parity gaps and outdated
model lists. Triggered as /gap-analysis <provider|feature <name>|models|--all>.
Produces a dated markdown report under .agent/gap-analysis/. Maintainer
tool — does not edit feature-support.ts or model-meta.ts directly.
metadata:
origin: TanStack
---
# Gap Analysis — TanStack AI adapter audit
You are auditing TanStack AI's provider adapters against each provider's
upstream documentation. This is a **maintainer** tool. Your only output is a
markdown report under `.agent/gap-analysis/`. **Do not edit source files.**
## Invocation
| Args | Scope |
| -------------------------------- | ----------------------------------------------------- |
| `<provider>` (e.g. `openai`) | One provider — all audit dimensions. |
| `feature <feature>` (e.g. `tts`) | One feature row of the matrix across all providers. |
| `models` | New-model diff for every provider. |
| `activities` | Activity-coverage diff: which of the 7 core activity |
| | kinds each provider ships an adapter for, vs. what |
| | upstream supports. (Dimension 6 only, all providers.) |
| `--all` | Full sweep (fan out subagents, one per provider). |
| _(none)_ | Ask the user which scope via AskUserQuestion. |
## Workflow
1. **Parse scope.** If missing, AskUserQuestion with the four options above.
2. **Load the truth files**, then read the per-scope inputs you need:
- Matrix: `testing/e2e/src/lib/feature-support.ts`
- Types: `testing/e2e/src/lib/types.ts` (Provider + Feature unions, ALL_PROVIDERS, ALL_FEATURES)
- Adapter index: `packages/ai-<provider>/src/index.ts`
- Model meta: `packages/ai-<provider>/src/model-meta.ts`
- Core types: `packages/ai/src/types.ts` (Modality, ContentPart, ToolCall)
3. **Research upstream.** Use WebFetch against the curated URLs in
[references/provider-doc-urls.md](references/provider-doc-urls.md). When a
doc page has moved, fall back to WebSearch. For SDK API surface details
use the `context7` MCP server (`mcp__plugin_context7_context7__resolve-library-id`
then `mcp__plugin_context7_context7__query-docs`).
4. **Walk the audit dimensions** in [references/audit-checklist.md](references/audit-checklist.md):
1. New models
2. Cross-adapter feature parity
3. Untracked features
4. Capability-flag drift
5. Telemetry / observability parity (usage tokens, cache/reasoning
counts, request ids, logging asymmetry)
6. Activity coverage (which of the 7 core activity kinds each provider
ships an adapter for vs. what upstream supports) — this is the **only**
dimension for the `activities` scope; it's also rolled into `--all`.
5. **Fan out** for `--all`: launch one `Explore` subagent per provider, max 3
in parallel. Each subagent returns the multi-dimension findings for its
provider; you synthesise into the combined report. The `activities` scope
does **not** fan out — derive the provider×activity matrix centrally from
the adapter files (see dimension 6), since it's a fast mechanical diff.
6. **Write the report** to `.agent/gap-analysis/YYYY-MM-DD-<scope>.md` using
[references/report-template.md](references/report-template.md). Date is
today's ISO date. `<scope>` is `openai` / `feature-tts` / `models` /
`activities` / `all`.
7. **Print the report path and a 5-line summary** to the user.
## Critical rules
1. **Never edit `feature-support.ts` or any `model-meta.ts`.** The report is
read-only — the maintainer applies changes.
2. **Always reference line numbers** when citing exclusions (e.g.,
`feature-support.ts:57`) so the maintainer can jump to them.
3. **Distinguish three gap classes** in the report:
- **Real gap** — upstream supports it, TanStack AI doesn't, no exclusion comment.
- **Tested gap** — TanStack AI doesn't list it but there's an exclusion
comment in `feature-support.ts` (e.g., aimock format limitation). Not
actionable code-wise; surface in "Out-of-scope" section.
- **Stale capability flag** — `model-meta.ts` declares a capability the
model no longer has, or omits one it now has.
4. **Cite sources.** Every claim "upstream supports X" must link the upstream
doc page you read. No claims from training data.
5. **Use today's date** from the system context (currentDate). Never invent.
6. **Quote the relevant snippet** from `feature-support.ts` when flagging a
parity gap, so the report is self-contained.
## Known providers
`openai`, `anthropic`, `gemini`, `ollama`, `grok`, `groq`, `openrouter`,
`bedrock` (`@tanstack/ai-bedrock`; three-API surface — Converse default
(adapter name `bedrock-converse`), Chat Completions opt-in (`api: 'chat'`,
adapter name `bedrock`), Responses opt-in (`api: 'responses'`, adapter name
`bedrock-responses`)), `byteplus` (`@tanstack/ai-byteplus`; text, video, tts,
transcription, image — two products/keys: ModelArk `ARK_API_KEY` for
text/video/image, Seed Speech `BYTEPLUS_VOICE_API_KEY` for tts/transcription),
`fal` (media-only), `elevenlabs` (TTS-only). The
feature matrix tracks `openai`, `anthropic`, `gemini`, `ollama`, `grok`,
`groq`, `openrouter`, `bedrock`, `bedrock-converse`, `bedrock-responses`, and
`byteplus`; `fal` and `elevenlabs` only appear in model/media audits.
## Known features (19)
Canonical list is `ALL_FEATURES` in `testing/e2e/src/lib/types.ts` — always
re-read it; this list is a snapshot:
`chat`, `one-shot-text`, `reasoning`, `multi-turn`, `tool-calling`,
`parallel-tool-calls`, `tool-approval`, `text-tool-text`, `structured-output`,
`structured-output-stream`, `agentic-structured`, `multimodal-image`,
`multimodal-structured`, `summarize`, `summarize-stream`, `image-gen`, `tts`,
`transcription`, `video-gen`.
## Known activities (7)
**Features** (above) are matrix rows about behaviours within an activity.
**Activities** are the coarser-grained core capability kinds in `@tanstack/ai`
— each has a `Base<Kind>Adapter` and a provider "supports" one only if its
package ships an adapter of that kind. Canonical list is the `AdapterKind`
union in `packages/ai/src/activities/index.ts` — always re-read it:
`text`, `summarize`, `image`, `audio`, `video`, `tts`, `transcription`.
A provider's activity surface is derived mechanically from its adapter files:
`packages/ai-<provider>/src/adapters/`. Filename → activity-kind map:
| Adapter file | Activity kind |
| ------------------------------------------------------------ | --------------- |
| `text.ts` / `text-chat-completions.ts` / `responses-text.ts` | `text` |
| `summarize.ts` | `summarize` |
| `image.ts` | `image` |
| `audio.ts` | `audio` |
| `video.ts` | `video` |
| `speech.ts` / `tts.ts` | `tts` |
| `transcription.ts` | `transcription` |
(`cost.ts` is a helper, not an activity adapter.)
## Verification before finishing
Before printing the summary:
- Report file exists and is non-empty.
- `git status` shows only new files under `.agent/gap-analysis/` — nothing
under `packages/` or `testing/` should have been modified. Run `git status`
and confirm.
- Every "real gap" entry has an upstream doc URL.Colle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait Gap Analysis (TanStack)
Matrix: `testing/e2e/src/lib/feature-support.ts`
Types: `testing/e2e/src/lib/types.ts` (Provider + Feature unions, ALL_PROVIDERS, ALL_FEATURES)
Adapter index: `packages/ai-<provider>/src/index.ts`
Model meta: `packages/ai-<provider>/src/model-meta.ts`
Comment utiliser Gap Analysis (TanStack)
1
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2
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Il ajoute le SKILL.md et ses ressources à ton projet.
3
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Le skill s'active dès que le contexte correspond.
Déclencheurs pour Gap Analysis (TanStack)
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