Agent skill

Conversation Feedback

by tonghuikang in tonghuikang/nemotron

Analyze a conversation to identify issues and suggest improvements.

No licenceAuto-check passed

Install Conversation Feedback

skills CLI
$ npx skills add tonghuikang/nemotron --skill conversation-feedback -a claude-code

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

GitHub CLI
$ gh skill install tonghuikang/nemotron conversation-feedback --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/tonghuikang/nemotron.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/conversation-feedback .claude/skills/conversation-feedback && 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
conversation-feedback
GitHub stars
117
Token cost
~828 tokens
SKILL.md length
473 words
Files
1
Skills in repo
2
Repo updated
First seen
Licence
None found

At a glance

Analyze a conversation to identify issues and suggest improvements.

  • Works in 6 steps: Obtain the conversation → Understand the task → Understand the issues → …
  • Reflecting on the current conversation
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Conversation Feedback is an agent skill from tonghuikang/nemotron. Analyze a conversation to identify issues and suggest improvements. Use if reflecting on the current conversation.

Its SKILL.md is about 830 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: Progress Prize winning submission for NVIDIA Nemotron Model Reasoning Challenge.

When your agent uses it

  • Reflecting on the current conversation

Example prompts

  • “/conversation-feedback”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Obtain the conversation
  2. Understand the task
  3. Understand the issues
  4. Understand the causes
  5. Propose improvements
  6. Produce a report

What it can do on your machine

Read from SKILL.md and the folder at commit bb199bc. 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

Conversation Feedback loads about 828 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 473 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~828

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 473 words (~828 tokens).

“Analyze the current coding session to identify what went wrong and what can be improved.”

— opening of SKILL.md by tonghuikang
name
conversation-feedback

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/conversation-feedback of tonghuikang/nemotron.

Open the folder on GitHubat commit bb199bc

Compare with similar skills

Conversation Feedback 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.

Conversation Feedback compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Conversation Feedback this skilltonghuikang/nemotron117—~828Automated safety check: PassNone
Reflectalirezarezvani/claude-skills28k1 repos~2.4kAutomated safety check: PassMIT
Feedbackcodewhale-hq/Codewhale41k—~272Automated safety check: PassMIT
Suggestion Boxpaperclipai/paperclip99k—~1.3kAutomated safety check: PassMIT
Scrub Reflection Self Improvementmarin-community/marin3.9k—~889Automated safety check: PassApache-2.0
Modeling Conversion MetricsPostHog/posthog40k—~1.4kAutomated safety check: PassCustom licence

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Questions about Conversation Feedback

What does Conversation Feedback do?

Analyze a conversation to identify issues and suggest improvements. Conversation Feedback is an agent skill from tonghuikang/nemotron. Analyze a conversation to identify issues and suggest improvements.

When should I use Conversation Feedback?

Conversation Feedback fits situations like: reflecting on the current conversation.

How do I install Conversation Feedback in Claude Code?

Run `npx skills add tonghuikang/nemotron --skill conversation-feedback -a claude-code`. Or copy the skill folder (skills/conversation-feedback in tonghuikang/nemotron) into .claude/skills/conversation-feedback in your project. Claude Code loads it when a task matches its description.

How do I install Conversation Feedback in Codex?

Run `npx skills add tonghuikang/nemotron --skill conversation-feedback -a codex`. Or copy the skill folder (skills/conversation-feedback in tonghuikang/nemotron) into .agents/skills/conversation-feedback in your project. Codex loads it when a task matches its description.

Can I use Conversation Feedback 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 tonghuikang/nemotron --skill conversation-feedback -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/conversation-feedback, .gemini/skills/conversation-feedback, .github/skills/conversation-feedback and .opencode/skills/conversation-feedback in your project.

What does Conversation Feedback need to run?

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

Does Conversation Feedback 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 Conversation Feedback 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 Conversation Feedback use?

No licence was found for Conversation Feedback or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Conversation Feedback use?

About 828 tokens (SKILL.md is roughly 3.3k 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 Conversation Feedback?

Skills that share tags, products or a category with Conversation Feedback: Reflect (alirezarezvani/claude-skills, 28k stars), Feedback (codewhale-hq/Codewhale, 41k stars), Suggestion Box (paperclipai/paperclip, 99k stars) and Scrub Reflection Self Improvement (marin-community/marin, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Conversation Feedback?

tonghuikang (a GitHub user) maintains it in tonghuikang/nemotron, which has 117 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on June 19, 2026.

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