agent-research-aggregatorlisted

# agent-research-aggregator --- ## Should I run? (decision gate) Before starting Phase 1, check whether aggregation is actually needed: | Situation | Action | |---|---| | `workspace/inputs/idea.md` **and** `workspace/inputs/experimental_log.md` both exist and are non-empty | **Skip this skill entirely.** Proceed directly to `paper-orchestra`. | | Either file is missing or empty, **and** the user provided a directory path | **Run this skill** with that directory as `--search-roots`. | | Either file is missing or empty, **and** no directory was provided | Scan cwd and `~` by default; show the discovery summary to the user before continuing. | | The inputs exist but look thin (e.g. idea.md has < 5 lines, no numeric data in experimental_log.md) | **Ask the user** whether to supplement with aggregation or proceed as-is. | The skill is intentionally a pre-pass — it is cheap to skip and should only run when the structured inputs don't already exist. --- A pre-processing skill for PaperOrchestra (arXiv:2604.05018). Reads scattered experimentation artifacts from AI coding-agent cache directories and synthesizes them into the structured `(I, E)` input pair the PaperOrchestra pipeline expects. ``` [.claude/] [.cursor/] [.antigravity/] [.openclaw/] │ │ │ │ └────────────┴──────────────┴───────────────┘ │ Phase 1: Discovery (discover_logs.py)