Screened · automated checks passed
skill-optimizer
What the author says it does
SkillOpt-flavored offline training loop for any SKILL.md. Treats accumulated learn-rule corrections as training trajectories, proposes bounded patches via an optimizer LLM, gates each candidate against a held-out validation set built from the user's own past corrections, and ships only candidates that demonstrably improve the score. Inspired by Microsoft SkillOpt's ReflACT pipeline (rollout → reflect → aggregate → select → update → evaluate) adapted to pro-workflow's SQLite store. Use when a skill has accumulated 8+ learn-rule rows and the user wants the skill itself to get better, not just longer.
Quoted from the skill's own SKILL.md trigger description — this is what tells
Claude when to activate it. Not yet verified by us.
Automated screening
100/100 validator score
Scored by the same rules as our free SKILL.md validator: trigger description quality, body substance, structure. Automated — a human bench test is the next step in the pipeline.
Install (unverified — review first)
git clone https://github.com/rohitg00/pro-workflow # skill lives at: skills/skill-optimizer/SKILL.md
SkillProof status
This skill is in our test queue. We install every skill in a clean environment, run a trigger battery and score output against a baseline before it earns a catalog page — the full protocol is public. Until then, treat it like any unreviewed dependency: read the SKILL.md and any scripts before installing.
Already tested in Sales & Outreach
- Objection Handling ACRC-framework objection playbook and live/email scripts for B2B reps — covers price, ghosting, and champion-relayed objections, not just pricing pushback.
- Sales Enablement Turns feature lists into decks, one-pagers, and objection docs reps actually use.
- Account Research Brief Turns a company name into a sourced 1-page pre-outreach brief: overview, decision makers, tech stack, signals, engagement angles.
- Forward Deployed Selling Enterprise sales doctrine that gates every deal action through movement diagnosis and a hard ethics layer.