advisor
Advisor mode. Consult a stronger (or different) model at key checkpoints: before major decisions, when stuck on an error, and before declaring a task done. Use…
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user says reflect.
$ npx -y skills add cursor/plugins --skill reflect --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/reflectContext preview
The summary Claude sees to decide when to auto-load this skill.
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user says reflect.
name: reflect description: Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user says reflect. disable-model-invocation: true
Mine the current conversation for durable learnings, then route them into skill edits.
Invoke when the user says "reflect" or "/reflect". Skip when the conversation is trivial, off-topic, or already covered by an existing skill the parent followed correctly. One-offs are not learnings.
The parent finds its own transcript file before fanning out. The system prompt names the active workspace's `agent-transcripts/` directory. Use that path. Do not glob across `~/.cursor/projects/*/`. That crosses workspace boundaries and reads private chats from unrelated projects.
ls -t <agent-transcripts>/*.jsonl <agent-transcripts>/*/*.jsonl <agent-transcripts>/*/subagents/*.jsonl 2>/dev/null | head -10
Three transcript layouts: legacy flat (`<id>.jsonl`), current nested (`<id>/<id>.jsonl`), and subagent (`<parent>/subagents/<child>.jsonl`).
For each candidate, read the first JSONL line and check that `message.content[0].text` contains the conversation's opening user prompt. Take the matching path. If no path resolves, write a tight digest of the session and pass that instead.
One message, three `Task` calls, `subagent_type: generalPurpose`, explicit `model:` on each, agent mode (`readonly: false`). Reviewers need MCP access for context lookups (tickets, chat threads, observability traces referenced in the transcript). Readonly strips MCPs.
| Lens | `model` | Prompt template | |---|---|---| | Judgment | your configured reflect-judgment model (default `claude-fable-5-1-thinking-max`) | `references/judgment-reviewer.md` | | Tooling | your configured reflect-tooling model (default `gpt-5.6-sol-max`) | `references/tooling-reviewer.md` | | Divergent | your configured reflect-judgment model (default `claude-fable-5-1-thinking-max`) | `references/divergent-reviewer.md` |
Pass each template verbatim, substituting the transcript path or digest where marked. Reviewers return findings in the `Task` response body.
One `Task` call, `subagent_type: generalPurpose`, using your configured reflect-judgment model (default `claude-fable-5-1-thinking-max`), agent mode (`readonly: false`). The synthesizer's quality check includes spot-verifying citations, which can require MCP access. Readonly strips MCPs. Use `references/synthesizer.md` verbatim, with each reviewer's full output inlined where marked. The synthesizer returns a structured Accepted / Rejected / Backlog list.
Sanity-check the synthesizer's Accepted list. For any item that would be enforced more reliably by a lint rule, script, metadata flag, or runtime check, move it from Accepted to Backlog. See the **encode-lessons-in-structure** principle skill.
Before applying any Accepted edit, present the synthesizer's full Accepted/Rejected/Backlog output to the user and wait for explicit approval. The user picks which subset to apply and may redirect routings. Skill changes affect every future agent in the org. Do not auto-apply.
Backlog items file to whatever devex / backlog tracker your team uses automatically. Only the Accepted list waits for approval.
For each approved Accepted item, follow the Routing field exactly:
If your environment ships a SKILL.md validator, run it on every touched skill before declaring done. Skip this step if it doesn't.
Short list, no preamble:
Official Cursor plugins for popular developer tools, frameworks, and SaaS products. Each plugin is a standalone directory at the repository root with its own .cursor-plugin/plugin.json manifest.
Repo: cursor/plugins
Advisor mode. Consult a stronger (or different) model at key checkpoints: before major decisions, when stuck on an error, and before declaring a task done. Use…
Run the full repository compatibility pass: scanner score, startup path, validation loop, and docs reliability.
Designs or reviews CLIs so coding agents can run them reliably: non-interactive flags, layered --help with examples, stdin/pipelines, fast actionable errors,…
Orchestrate continual learning by delegating transcript mining and AGENTS.md updates to `agents-memory-updater`.
Create a new Cursor plugin scaffold with a valid manifest, component directories, and marketplace wiring. Use when starting a new plugin or adding a plugin to…
Audit a Cursor plugin for marketplace readiness. Use when validating manifests, component metadata, discovery paths, and submission quality before publishing.