gitnexus-cli
Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos.…
Run a GitNexus production-readiness pull request review using a coordinated reviewer swarm.
$ npx -y skills add abhigyanpatwari/GitNexus --skill gitnexus-pr-swarm-review --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/gitnexus-pr-swarm-reviewContext preview
The summary Claude sees to decide when to auto-load this skill.
Run a GitNexus production-readiness pull request review using a coordinated reviewer swarm.
name: gitnexus-pr-swarm-review description: "Run a GitNexus production-readiness pull request review using a coordinated reviewer swarm."
Use this skill to review a GitNexus pull request and produce a production-readiness review.
> This is the interactive, on-demand reviewer swarm. It is distinct from the CI > `gitnexus-review` skill's built-in "Swarm lanes" (`ci-personas/`), which the > review-agent workflow dispatches automatically inside a single review run.
/gitnexus-pr-swarm-review <PR URL or PR number>
You are the **swarm coordinator**. The full review contract — lanes, dependencies, classifications, output structure, finding format, hidden-Unicode checks, and behavior rules — is the canonical, CLI-neutral spec:
**`pr-swarm-review/orchestration.md`** — read it now and follow it.
This adapter only pins the Claude Code specifics:
seven subagents are the project agents named `gitnexus-*` (one per persona); each reads its canonical persona under `pr-swarm-review/personas/`. Run lanes 1–2 first, lanes 3–6 in parallel after, and lane 7 last on the draft.
"Required corrections before posting" section is non-empty — revise and re-run it.
Do not flatten the review into a generic checklist; delegate to the subagents and synthesize per `orchestration.md`.
The context engine for Enterprise Codebases Indexes any codebase into a knowledge graph — every dependency, call chain, cluster, and execution flow — then exposes it through smart MCP tools so AI agents never miss code.
Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos.…
Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: \"Why is X failing?\", \"Where does this error come from?\",…
Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: \"How…
Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples:…
Use when the user wants to know what will break if they change something, or needs safety analysis before editing code. Examples: \"Is it safe to change X?\",…
Use when the user wants the GitNexus engineering pipeline run end-to-end on a task: gitnexus-plan (plan depth chosen up front), a blocking gate to execute with…