thinkwee/agentsmeetrl/agents-meet-rl
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Checking that the SKILL.md file is still in the repository.
Troubleshooter for agentic-RL training, evaluation, and experiment design on LLM agents (single or multi-agent, multi-turn, tool-augmented). Routes a user's symptom to fixes anchored in the corpus. TRIGGER when: user is training, evaluating, or designing experiments for an RL-trained LLM agent; symptoms like reward not moving, eval flat, KL/entropy/length blow-ups, retokenization drift, tool-call parse failures, credit assignment, async-rollout staleness, judge inconsistency, benchmark contamin…
Install
npx vskill@latest install thinkwee/agentsmeetrl/agents-meet-rlSKILL.md
What this is
A corpus-anchored handbook for diagnosis and selection. It supplies knowledge — it does not read or run your training: it can't inspect your logs, wandb, or live metrics. You bring the symptom; it returns likely causes, checks, and cited fixes for you to apply.
Where things are
- `problems/_INDEX.md` — symptom → file routing, grouped under
training/, evaluation/, research-workflow/. Start here.
- `problems/<cat>/<file>.md` — per-symptom files. Most follow
Symptoms → Root causes → Diagnosis → Fixes → References; knob / decision / modality / eval-checklist / research-workflow files use task-oriented structures.
- `references/_INDEX.md` + `references/<cat>.md` — per-category
project lists with full metadata. Each entry carries an `Idea:` line — one sentence on its distinctive contribution, grounded in the paper/repo. Use for "which framework / benchmark" selection, to look up project names not routed via problems/_INDEX.md, and to answer "what's the idea behind X" by quoting its Idea: line.
- `database.json` — machine-readable, 411 entries (each with a
takeaway field mirroring the Idea: line) plus 3 paper-only algorithms (DAPO, Dr.GRPO, VAPO) whitelisted in scripts/lint_skill.py.
Citing fixes
Name the algorithm or idea, then anchor with whatever canonical URLs exist for that entry — typically github + arxiv + org + date, but paper-only algorithms (in the whitelist) get just the paper URL, and tools / environments without papers get just github + org + date.
Examples:
Project with paper (typical):Adapt Search-R1's outcome-only reward —code ·paper · UIUC/Google · 2025.3.
Paper-only algorithm (whitelist):Try DAPO's clip-higher —paper · ByteDance Seed · 2025.3.
Tool / environment without paper:Run rollouts in atropos —code · Nous Research · 2025.4.
Cite at the idea level, not paper sections or file paths inside repos — they rot. If an entry isn't in the corpus, say so; don't fabricate.
If two corpus entries share a name (e.g. ARPO appears as both a reasoning RL method and a GUI-agent training method), disambiguate by including the org and paper URL — they are different works.
Staleness
Snapshot date: 2026-07-23. If the user mentions a project or paper released after that, flag explicitly that this skill's corpus may not cover it.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/agents-meet-rl/SKILL.md
Popularity
- Repository stars
- 1,835
- Repository forks
- 73
- 7-day trend score
- 38
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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