Registry indexed

coding-agent

Invoke a dedicated coding agent (Codex, Claude Code, OpenCode, pi, or Cursor Agent) for bug fixes, feature implementation, file edits, repository changes, or targeted validation when the user wants changes made in the current project. Nakama handles ordinary explanation, brainsto

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Price unconfirmed★ 461 GitHub starsRegistry updated · Oct 5, 2026agent-skill

Overview

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Use this skill when the user wants real code work done in the current project: implementing features, fixing bugs, editing files, running targeted validation, or inspecting the repo to make a concrete change.

Keep ordinary conversation local:

Do not invoke the coding agent for simple explanation, brainstorming, status updates, or product discussion unless code changes are actually needed.
Do not invoke the coding agent just because the topic is technical.
If the user only wants advice or an explanation, answer directly.

Prerequisites

This profile must have the bash tool assigned.
A coding agent CLI must be installed on the Nakama server host (Codex, Claude Code, OpenCode, pi, or Cursor Agent).

Install with bash when missing for npm-based CLIs (global installs affect the whole host — confirm with the operator on shared servers):

npm install -g @openai/codex
npm install -g @anthropic-ai/claude-code
npm install -g opencode-ai
npm install -g @earendil-works/pi-coding-agent

(or the equivalent bun install -g --trust … if npm is unavailable)

Cursor Agent (agent) cannot be auto-installed by Nakama. If it is missing, tell the user to install and authenticate Cursor Agent CLI on the host themselves, then verify with agent --version. Do not attempt npm install -g for Cursor.

If the injected Coding Agent Harness context lists install commands, follow those. After install, retry the coding task.

Choosing a backend

Read the injected Coding Agent Harness context.
If it says multiple CLIs are installed, ask the user which one to use before running. Do not pick silently. Remember their choice for this conversation only.
If exactly one CLI is available (or the context includes a single command template), use that backend.
If none are installed, install via bash for Codex/Claude/OpenCode/pi when appropriate, or tell the user to install Cursor Agent themselves when that is the desired backend.

Coding agent workflow

When repo work should run on a coding agent, use the bash tool to run the CLI:

Follow the injected harness context / command template for the chosen backend when present.
Summarize the coding task in one concrete instruction block.
Include only the context the coding agent needs: target behavior, affected files or areas when known, constraints, and what should be verified.
Build the shell command from the template (or backend guidance), substituting your task prompt. Escape quotes carefully or use a heredoc when the prompt is multi-line.
Call bash with codingAgent: true and a command that starts with the harness binary (codex, claude, opencode, pi, or agent) so Nakama can recognize the harness. For Codex/Claude/OpenCode/pi, Nakama may merge provider passthrough spawn env. For Cursor Agent, spawn env stays empty — host Cursor auth is used instead. Use an explicit timeoutMs suited to the task — use 600000–1800000 ms (10–30 minutes) for substantial coding runs; keep shorter timeouts for quick checks.
Prefer precise change requests over broad open-ended prompts.
If the user names a preferred backend, use that CLI.
For Cursor Agent: ensure the target repo exists in the profile workspace (clone if missing), set bash cwd to that repo, run agent -p '<task>' --output-format text --yolo with codingAgent true (argv0 must be agent, not cd && agent). Prefer text; stream-json is summarized automatically with a full log under artifacts/coding-agent-runs/. See backend guidance.

After the coding agent returns:

Summarize what changed in plain language using stdout/stderr from the bash result.
Mention what was verified.
Call out any remaining risks, gaps, or follow-up work.
For implementation runs (feature / fix / repo change), the coding brief should require branch + commit + push + gh pr create by default (see backend guidance, especially Cursor), unless the user explicitly asked for local-only work (exploration, draft, "just look", "don't push"). Confirm the PR URL before treating the task as done.
If the coding agent run failed (non-zero exit, timeout, or empty useful output), explain the failure clearly and decide whether to retry, adjust the prompt, or ask the user.

View source ↗

File metadata

name: coding-agent
description: Invoke a dedicated coding agent (Codex, Claude Code, OpenCode, pi, or Cursor Agent) for bug fixes, feature implementation, file edits, repository changes, or targeted validation when the user wants changes made in the current project. Nakama handles ordinary explanation, brainstorming, and non-editing chat; use this skill when repo work is better done by a coding agent.
include-body-on-match: true

View original text

---
name: coding-agent
description: Invoke a dedicated coding agent (Codex, Claude Code, OpenCode, pi, or Cursor Agent) for bug fixes, feature implementation, file edits, repository changes, or targeted validation when the user wants changes made in the current project. Nakama handles ordinary explanation, brainstorming, and non-editing chat; use this skill when repo work is better done by a coding agent.
include-body-on-match: true
---

Keep ordinary conversation local:

- Do not invoke the coding agent for simple explanation, brainstorming, status updates, or product discussion unless code changes are actually needed.
- Do not invoke the coding agent just because the topic is technical.
- If the user only wants advice or an explanation, answer directly.

## Prerequisites

- This profile must have the **`bash`** tool assigned.
- A coding agent CLI must be installed on the **Nakama server host** (Codex, Claude Code, OpenCode, pi, or Cursor Agent).

Install with `bash` when missing for npm-based CLIs (global installs affect the whole host — confirm with the operator on shared servers):

```bash
npm install -g @openai/codex
npm install -g @anthropic-ai/claude-code
npm install -g opencode-ai
npm install -g @earendil-works/pi-coding-agent
```

(or the equivalent `bun install -g --trust …` if npm is unavailable)

**Cursor Agent** (`agent`) cannot be auto-installed by Nakama. If it is missing, tell the user to install and authenticate Cursor Agent CLI on the host themselves, then verify with `agent --version`. Do not attempt `npm install -g` for Cursor.

If the injected **Coding Agent Harness** context lists install commands, follow those. After install, retry the coding task.

## Choosing a backend

1. Read the injected **Coding Agent Harness** context.
2. If it says **multiple** CLIs are installed, **ask the user which one to use** before running. Do not pick silently. Remember their choice for this conversation only.
3. If exactly one CLI is available (or the context includes a single command template), use that backend.
4. If none are installed, install via bash for Codex/Claude/OpenCode/pi when appropriate, or tell the user to install Cursor Agent themselves when that is the desired backend.

## Coding agent workflow

When repo work should run on a coding agent, use the `bash` tool to run the CLI:

1. Follow the injected harness context / command template for the chosen backend when present.
2. Summarize the coding task in one concrete instruction block.
3. Include only the context the coding agent needs: target behavior, affected files or areas when known, constraints, and what should be verified.
4. Build the shell command from the template (or backend guidance), substituting your task prompt. Escape quotes carefully or use a heredoc when the prompt is multi-line.
5. Call `bash` with `codingAgent: true` **and** a command that starts with the harness binary (`codex`, `claude`, `opencode`, `pi`, or `agent`) so Nakama can recognize the harness. For Codex/Claude/OpenCode/pi, Nakama may merge provider passthrough spawn env. For **Cursor Agent**, spawn env stays empty — host Cursor auth is used instead. Use an explicit `timeoutMs` suited to the task — use 600000–1800000 ms (10–30 minutes) for substantial coding runs; keep shorter timeouts for quick checks.
6. Prefer precise change requests over broad open-ended prompts.
7. If the user names a preferred backend, use that CLI.
8. For Cursor Agent: ensure the target repo exists in the profile workspace (clone if missing), set bash cwd to that repo, run `agent -p '<task>' --output-format text --yolo` with codingAgent true (argv0 must be `agent`, not `cd && agent`). Prefer text; stream-json is summarized automatically with a full log under `artifacts/coding-agent-runs/`. See backend guidance.

After the coding agent returns:

- Summarize what changed in plain language using stdout/stderr from the bash result.
- Mention what was verified.
- Call out any remaining risks, gaps, or follow-up work.
- For implementation runs (feature / fix / repo change), the coding brief should require branch + commit + push + `gh pr create` by default (see backend guidance, especially Cursor), unless the user explicitly asked for local-only work (exploration, draft, "just look", "don't push"). Confirm the PR URL before treating the task as done.
- If the coding agent run failed (non-zero exit, timeout, or empty useful output), explain the failure clearly and decide whether to retry, adjust the prompt, or ask the user.

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License: MIT
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Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

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Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & usage notes

IndexedStatic Checked

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: ahmadrosid/nakama
License: MIT
Version: Unknown
Last GitHub push: Oct 5, 2026
Registry updated: Oct 5, 2026
Instruction path: packages/core/src/skills/bundled/coding-agent/SKILL.md @ b75fdd348b9f

Version reported in registry metadata; check source releases before relying on it.

Quality

68/100

Promising

Trust

64/100

Sandbox only

Audit

77/100

Needs review

Open full audit View eval report

Dependency or permission surface needs review
Permission surface may require sandboxing
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Outcomes: —

Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.

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More details

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Creator: ahmadrosid
Source: ahmadrosid/nakama
Indexed by: OpenAgentSkill community index

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ahmadrosid

Registry indexed

coding-agent

Review the source View on GitHub

Price unconfirmed★ 461 GitHub starsRegistry updated · Oct 5, 2026agent-skill

Overview

Read full documentation

Source documentation, not instructions for this website. Review permissions before running any commands.

Keep ordinary conversation local:

Do not invoke the coding agent for simple explanation, brainstorming, status updates, or product discussion unless code changes are actually needed.
Do not invoke the coding agent just because the topic is technical.
If the user only wants advice or an explanation, answer directly.

Prerequisites

This profile must have the bash tool assigned.
A coding agent CLI must be installed on the Nakama server host (Codex, Claude Code, OpenCode, pi, or Cursor Agent).

Install with bash when missing for npm-based CLIs (global installs affect the whole host — confirm with the operator on shared servers):

npm install -g @openai/codex
npm install -g @anthropic-ai/claude-code
npm install -g opencode-ai
npm install -g @earendil-works/pi-coding-agent

(or the equivalent bun install -g --trust … if npm is unavailable)

If the injected Coding Agent Harness context lists install commands, follow those. After install, retry the coding task.

Choosing a backend

Read the injected Coding Agent Harness context.
If it says multiple CLIs are installed, ask the user which one to use before running. Do not pick silently. Remember their choice for this conversation only.
If exactly one CLI is available (or the context includes a single command template), use that backend.
If none are installed, install via bash for Codex/Claude/OpenCode/pi when appropriate, or tell the user to install Cursor Agent themselves when that is the desired backend.

Coding agent workflow

When repo work should run on a coding agent, use the bash tool to run the CLI:

Follow the injected harness context / command template for the chosen backend when present.
Summarize the coding task in one concrete instruction block.
Include only the context the coding agent needs: target behavior, affected files or areas when known, constraints, and what should be verified.
Build the shell command from the template (or backend guidance), substituting your task prompt. Escape quotes carefully or use a heredoc when the prompt is multi-line.
Call bash with codingAgent: true and a command that starts with the harness binary (codex, claude, opencode, pi, or agent) so Nakama can recognize the harness. For Codex/Claude/OpenCode/pi, Nakama may merge provider passthrough spawn env. For Cursor Agent, spawn env stays empty — host Cursor auth is used instead. Use an explicit timeoutMs suited to the task — use 600000–1800000 ms (10–30 minutes) for substantial coding runs; keep shorter timeouts for quick checks.
Prefer precise change requests over broad open-ended prompts.
If the user names a preferred backend, use that CLI.
For Cursor Agent: ensure the target repo exists in the profile workspace (clone if missing), set bash cwd to that repo, run agent -p '<task>' --output-format text --yolo with codingAgent true (argv0 must be agent, not cd && agent). Prefer text; stream-json is summarized automatically with a full log under artifacts/coding-agent-runs/. See backend guidance.

After the coding agent returns:

Summarize what changed in plain language using stdout/stderr from the bash result.
Mention what was verified.
Call out any remaining risks, gaps, or follow-up work.
For implementation runs (feature / fix / repo change), the coding brief should require branch + commit + push + gh pr create by default (see backend guidance, especially Cursor), unless the user explicitly asked for local-only work (exploration, draft, "just look", "don't push"). Confirm the PR URL before treating the task as done.
If the coding agent run failed (non-zero exit, timeout, or empty useful output), explain the failure clearly and decide whether to retry, adjust the prompt, or ask the user.

View source ↗

File metadata

name: coding-agent
description: Invoke a dedicated coding agent (Codex, Claude Code, OpenCode, pi, or Cursor Agent) for bug fixes, feature implementation, file edits, repository changes, or targeted validation when the user wants changes made in the current project. Nakama handles ordinary explanation, brainstorming, and non-editing chat; use this skill when repo work is better done by a coding agent.
include-body-on-match: true

View original text

Keep ordinary conversation local:

## Prerequisites

- This profile must have the **`bash`** tool assigned.
- A coding agent CLI must be installed on the **Nakama server host** (Codex, Claude Code, OpenCode, pi, or Cursor Agent).

Install with `bash` when missing for npm-based CLIs (global installs affect the whole host — confirm with the operator on shared servers):

```bash
npm install -g @openai/codex
npm install -g @anthropic-ai/claude-code
npm install -g opencode-ai
npm install -g @earendil-works/pi-coding-agent
```

(or the equivalent `bun install -g --trust …` if npm is unavailable)

If the injected **Coding Agent Harness** context lists install commands, follow those. After install, retry the coding task.

## Choosing a backend

## Coding agent workflow

When repo work should run on a coding agent, use the `bash` tool to run the CLI:

After the coding agent returns:

Review the source

Price & running costs

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License: MIT
Price unconfirmed: We have not confirmed a price for this skill. Existing source and install links remain available.

Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Open full audit

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Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & usage notes

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Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: ahmadrosid/nakama
License: MIT
Version: Unknown
Last GitHub push: Oct 5, 2026
Registry updated: Oct 5, 2026
Instruction path: packages/core/src/skills/bundled/coding-agent/SKILL.md @ b75fdd348b9f

Version reported in registry metadata; check source releases before relying on it.

Quality

68/100

Promising

Trust

64/100

Sandbox only

Audit

77/100

Needs review

Open full audit View eval report

Dependency or permission surface needs review
Permission surface may require sandboxing
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Outcomes: —

Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.

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More details

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Creator: ahmadrosid
Source: ahmadrosid/nakama
Indexed by: OpenAgentSkill community index

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Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Overview

Prerequisites

Choosing a backend

Coding agent workflow

Review the source

Price & running costs

Start with one small task

Source & usage notes

Agent access

Related skills

For the creator

Registry indexed

Claim this skill listing

Add the evidence badges to your README

Community signal

Overview

Prerequisites

Choosing a backend

Coding agent workflow

Review the source

Price & running costs

Start with one small task

Source & usage notes

Agent access

Related skills

For the creator

Registry indexed

Claim this skill listing

Add the evidence badges to your README

Community signal