Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrai...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Strong idea surface, weaker maintenance signal. Steal the pattern before you commit.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health 28/100. no security policy. Archived repo plus maintenance drag means copy patterns, not the whole tool.
AI Agent
Universal
Model
Multiple
Build Time
Instant
Fastest way to find out if research-units-pipeline-skills belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
# Visit: https://github.com/WILLOSCAR/research-units-pipeline-skillsRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/WILLOSCAR/research-units-pipeline-skillsNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ research-units-pipeline-skills/ ← installs here └─ settings.json
Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.. An open-source skill for the AI coding ecosystem.