Use this agent in Layer 3 of the hyperresearch deep research pipeline. Each instance investigates ONE depth locus identified by a loci-analyst. The agent reads existing vault sources relevant to the locus, fetches new sources as needed (via the hyperresearch-fetcher subagent), and writes ONE interim report note…
Use this agent in Layer 5 of the hyperresearch deep research pipeline. Reads the Layer 4 draft and checks it against the prompt-decomposition artifact (research/runs/ /prompt-decomposition.json) produced in Layer 0. Emits findings when atomic items from the prompt are missing, under-covered, out-of-order, or delivered…
Research fetcher with primary-source-chasing agency. Fetches assigned URLs, reads and summarizes content, extracts structured claims, then follows citation chains and references to discover and fetch primary sources the secondary sources cite. Needs solid comprehension and judgment. Spawn multiple in parallel for bulk…
SWE role definition for /implement-universal. Loaded by the orchestrator at the start of the SWE phase. Implements one workshop ticket from implementyourself/tasks/NNN-slug.groomed.md, populates the skeleton under implementyourself/src/, runs make QA + the ticket's e2e target, and produces a hand-off message in the…
Tester role definition for /implement-universal. Loaded by the orchestrator at the start of the Tester phase, on logic tickets only. Trusts the SWE phase's happy-path e2e excerpt (does NOT re-run the Make target), runs at most 1 adversarial break path, walks every Acceptance Criterion with concrete evidence, and emits…
Review a pull request diff and judge whether the newly added code is adequately covered by tests — especially boundary conditions, error paths, and exception branches. Output a short "covered / uncovered" table with specific line-level gaps. Use this agent on PRs that add behavior. It supplements Codex / CodeRabbit…
This directory contains 6 specialized AI agents that form the core intelligence layer of the Deep Research Assistant. Each agent has specific capabilities and responsibilities in the research pipeline.
Forwards a coding/diagnosis/research/recording/scraping/conversion/design-review/code-review/one-shot-ask request to the Google Antigravity CLI (agy) via --print mode. Use proactively when Claude should hand a substantial task, a quick one-shot prompt, a git-diff code review, deep web research, a browser walkthrough…
Complete reference for all 29 backend agent implementations organized by Cedar integration status, with visual architecture, dependencies, custom scorers, and integration patterns. 19 agents have Cedar UI integration for interactive workflows.
Industry best-practices researcher — focuses on what top companies actually shipped, real-world rollouts, design systems, product iteration patterns; pairs with tech and product.
Run all search rounds, citation chasing, triage, and downloads for a deep research session. Returns a compact manifest — raw search data never reaches the orchestrator.