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deep-groundinglisted

Deep, multi-agent grounding of an external API — fan out cited readers across the docs, build a capability matrix, then an adversarial panel verifies every row. Use ONLY for L3/L4 integrations, by explicit invocation; it drives a Workflow (~15× tokens). Escalates ground-integration.
YasMax91/groundwork · ★ 0 · AI & Automation · score 67
Install: claude install-skill YasMax91/groundwork
# Deep grounding (Workflow-driven) The heavyweight form of `ground-integration` for **L3/L4 external integrations**. It orchestrates a multi-agent Workflow so a large or critical API doc is read in parallel and **every capability claim is adversarially verified** before you trust it. This is the strongest defence against the worst failure mode — confidently assuming a capability the provider does not have. ## When to use - **Explicit invocation only**, **L3/L4 only.** For L0–L2 or a quick check, use `ground-integration` (single-agent) — say so and stop. - This skill **drives the `Workflow` tool** (multi-agent, ~15× tokens). Invoking it is the opt-in. - **If `Workflow` is unavailable** (plan/version), fall back to `ground-integration`'s single-agent flow and tell the user — never hard-fail. ## How to run 1. Establish the provider / product / API version, the **list of capabilities** the task needs (one row per capability), and the doc **sources** (URLs). 2. Author and run the Workflow in `${CLAUDE_SKILL_DIR}/workflow.md` (adapt `capabilities` + `sources`). It (a) fans out one `grounded-researcher` per capability — each returns a cited finding; (b) runs an adversarial panel (≥2 `adversarial-verifier` skeptics, distinct lenses, refute-by-default) per row; (c) synthesizes the matrix. `log()` the fan-out size so the cost is visible. 3. Present the **capability matrix** — per row: supported? · evidence (URL+quote) · adversarial verdict · confidence · fallbac