Search prior work across the workspace's outputs/, context/, and memory folders before starting any task that might duplicate it, returning up to 15 ranked results with file paths, modified dates, and matching snippets.
0 on GitHubby Ryan Hoggv0.2.0MITupdated 1 month agoworkspace
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Plugin context-search from marketplace pm-agent-toolkit in ryanhoggpm/pm-agent-toolkit. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (1)
context-search
Search prior work across the workspace's outputs/, context/, and memory folders before starting any task that might duplicate it, returning up to 15 ranked results with file paths, modified dates, and matching snippets. Use when the user says "have we already written about X", "find prior work on",
Review an OpenAPI spec for structural defects (wrong HTTP verbs, empty responses, broken security schemes), CRUD and documentation gaps, and coverage of stated product requirements, producing a severity-tagged report with a prioritized fix list.
Set up and run multi-session frontend development in Bolt.new against a real backend API, producing a Bolt Project Knowledge document, a PROGRESS.md session tracker, a Vite proxy config for CORS-free live API calls, and a Bolt-to-local-review production handoff.
Designs and writes well-scoped working agents, either Claude Code subagents (.claude/agents/*.md) or Claude Managed Agents (API config), from a structured design interview covering scope-as-refusals, routing description, least-privilege tools and permission policies, output contract,...
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Route a prompt to a local Ollama model and return the response inline, as a manual failover when cloud usage limits hit or when a draft must stay fully local.
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
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Run your monday CRM in plain language. Build a pipeline from scratch, start the day with a ranked deal briefing, spin up a forecast dashboard, audit board health, clean up messy data in bulk, and turn meeting notes into deal updates. Every skill writes back into monday as a real update, doc, or dashboard. Built on the official monday MCP connector.
Use Superset to spawn agents, create workspaces, manage tasks, and schedule automations from Claude Code.
14 skills · 1 command
superset-sh/superset 15,548
Maintain context-search?
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