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Agent skill

Reinforcement Loop

by gtmagents in gtmagents/gtm-agents

A skill your agent uses to plan post-training reinforcement cadences, certifications, and impact tracking.

Apache-2.0Auto-check passed

Install Reinforcement Loop

skills CLI
$ npx skills add gtmagents/gtm-agents --skill reinforcement-loop -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gtmagents/gtm-agents reinforcement-loop --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gtmagents/gtm-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/sales-enablement/skills/reinforcement-loop .claude/skills/reinforcement-loop && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
reinforcement-loop
GitHub stars
413
Used in
1 other repo
Token cost
~283 tokens
SKILL.md length
116 words
Files
1
Skills in repo
121
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses to plan post-training reinforcement cadences, certifications, and impact tracking.

  • Works in 5 steps: Signal Review – inspect engagement,… → Cohort Targeting – segment audiences… → Reinforcement Design – choose modalities… → …
  • Plan post-training reinforcement cadences
  • SKILL.md covers When to Use, Framework, Templates and Tips
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Reinforcement Loop is an agent skill from gtmagents/gtm-agents. Use to plan post-training reinforcement cadences, certifications, and impact tracking.

Its SKILL.md is about 280 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Production-ready collection of GTM agents and specialized skills for claude code. Covers sales, marketing, customer success, and revenue operations workflows. The licence is Apache-2.0.

When your agent uses it

  • Plan post-training reinforcement cadences
  • Impact tracking

Example prompts

  • “/reinforcement-loop”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Signal Review – inspect engagement, certification, and performance metrics.
  2. Cohort Targeting – segment audiences (role, region, tenure) and prioritize interventions.
  3. Reinforcement Design – choose modalities (LMS modules, office hours, peer coaching, quizzes).
  4. Operationalize – schedule sessions, assign facilitators, automate reminders, and log attendance.
  5. Measure & Iterate – evaluate impact on KPIs, gather feedback, and update future waves.

What it can do on your machine

Read from SKILL.md and the folder at commit 78e0419. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Reinforcement Loop loads about 283 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 116 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~283

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gtmagents/gtm-agents at commit 78e0419, republished under its Apache-2.0 licence (© gtmagents). 116 words, ~283 tokens.

Download SKILL.mdSave it as .claude/skills/reinforcement-loop/SKILL.md (or your agent's skills folder).
name
reinforcement-loop
description
Use to plan post-training reinforcement cadences, certifications, and impact tracking.

Reinforcement Loop Skill

When to Use

  • After launching new enablement programs or playbooks.
  • When adoption metrics lag or managers request refreshers.
  • During quarterly readiness reviews.

Framework

  1. Signal Review – inspect engagement, certification, and performance metrics.
  2. Cohort Targeting – segment audiences (role, region, tenure) and prioritize interventions.
  3. Reinforcement Design – choose modalities (LMS modules, office hours, peer coaching, quizzes).
  4. Operationalize – schedule sessions, assign facilitators, automate reminders, and log attendance.
  5. Measure & Iterate – evaluate impact on KPIs, gather feedback, and update future waves.

Templates

  • Reinforcement calendar template.
  • Quiz/assessment blueprint.
  • Coaching follow-up tracker.

Tips

  • Keep touchpoints short and frequent for better retention.
  • Tie reinforcement to actual pipeline opportunities to improve relevance.
  • Share success stories to keep motivation high.

© gtmagents, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/sales-enablement/skills/reinforcement-loop of gtmagents/gtm-agents.

Open the folder on GitHubat commit 78e0419

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gtmagents/gtm-agents, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Reinforcement Loop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Reinforcement Loop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Reinforcement Loop this skillgtmagents/gtm-agents4131 repos~283Automated safety check: PassApache-2.0
GRPO Reinforcement Learning TrainingOrchestra-Research/AI-Research-SKILLs13k3 repos~4.3kAutomated safety check: PassMIT
Ito Trainingaffaan-m/ECC276k1 repos~1.5kAutomated safety check: PassMIT
Cost Trackingaffaan-m/ECC276k1 repos~1.3kAutomated safety check: PassMIT
Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs13k2 repos~2.7kAutomated safety check: PassMIT
verl RL TrainingOrchestra-Research/AI-Research-SKILLs13k2 repos~2.4kAutomated safety check: PassMIT

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Questions about Reinforcement Loop

What does Reinforcement Loop do?

A skill your agent uses to plan post-training reinforcement cadences, certifications, and impact tracking. Reinforcement Loop is an agent skill from gtmagents/gtm-agents. Use to plan post-training reinforcement cadences, certifications, and impact tracking.

When should I use Reinforcement Loop?

Reinforcement Loop fits situations like: plan post-training reinforcement cadences; impact tracking.

How do I install Reinforcement Loop in Claude Code?

Run `npx skills add gtmagents/gtm-agents --skill reinforcement-loop -a claude-code`. Or copy the skill folder (plugins/sales-enablement/skills/reinforcement-loop in gtmagents/gtm-agents) into .claude/skills/reinforcement-loop in your project. Claude Code loads it when a task matches its description.

How do I install Reinforcement Loop in Codex?

Run `npx skills add gtmagents/gtm-agents --skill reinforcement-loop -a codex`. Or copy the skill folder (plugins/sales-enablement/skills/reinforcement-loop in gtmagents/gtm-agents) into .agents/skills/reinforcement-loop in your project. Codex loads it when a task matches its description.

Can I use Reinforcement Loop in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gtmagents/gtm-agents --skill reinforcement-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reinforcement-loop, .gemini/skills/reinforcement-loop, .github/skills/reinforcement-loop and .opencode/skills/reinforcement-loop in your project.

What does Reinforcement Loop need to run?

SKILL.md names no scripts, command-line tools or credentials: Reinforcement Loop is instructions for the agent only.

Does Reinforcement Loop access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Reinforcement Loop safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Reinforcement Loop use?

Reinforcement Loop is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Reinforcement Loop use?

About 283 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Reinforcement Loop?

Skills that share tags, products or a category with Reinforcement Loop: GRPO Reinforcement Learning Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), Ito Training (affaan-m/ECC, 276k stars), Cost Tracking (affaan-m/ECC, 276k stars) and Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reinforcement Loop?

gtmagents (a GitHub user) maintains it in gtmagents/gtm-agents, which has 413 GitHub stars. The repository holds 121 skills in this directory. The repository was last updated on April 3, 2026.

Source: gtmagents/gtm-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.