CCPM Project Management
automazeio/ccpm
Runs a spec-driven workflow from PRD to epic to GitHub issues to parallel agents, with status, standup and blocked-work reports from bundled scripts.
Orchestrates multi-day execution of complex tasks through milestones.
Install Long Run
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add tmdgusya/engineering-discipline --skill long-run -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tmdgusya/engineering-discipline long-run --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/tmdgusya/engineering-discipline.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/long-run .claude/skills/long-run && rm -rf skills-srcUse ~/.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/
Install the "long-run" agent skill from https://github.com/tmdgusya/engineering-discipline/tree/main/skills/long-run into .claude/skills/long-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "long-run", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/tmdgusya/engineering-discipline/tree/main/skills/long-runType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add tmdgusya/engineering-discipline --skill long-run -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tmdgusya/engineering-discipline long-run --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tmdgusya/engineering-discipline.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/long-run .agents/skills/long-run && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "long-run" agent skill from https://github.com/tmdgusya/engineering-discipline/tree/main/skills/long-run into .agents/skills/long-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "long-run", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tmdgusya/engineering-discipline --skill long-run -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tmdgusya/engineering-discipline long-run --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tmdgusya/engineering-discipline.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/long-run .cursor/skills/long-run && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "long-run" agent skill from https://github.com/tmdgusya/engineering-discipline/tree/main/skills/long-run into .cursor/skills/long-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "long-run", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/tmdgusya/engineering-discipline.git --path skills/long-run--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add tmdgusya/engineering-discipline --skill long-run -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tmdgusya/engineering-discipline long-run --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tmdgusya/engineering-discipline.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/long-run .gemini/skills/long-run && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "long-run" agent skill from https://github.com/tmdgusya/engineering-discipline/tree/main/skills/long-run into .gemini/skills/long-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "long-run", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install tmdgusya/engineering-discipline long-runInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add tmdgusya/engineering-discipline --skill long-run -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tmdgusya/engineering-discipline.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/long-run .github/skills/long-run && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "long-run" agent skill from https://github.com/tmdgusya/engineering-discipline/tree/main/skills/long-run into .github/skills/long-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "long-run", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tmdgusya/engineering-discipline --skill long-run -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tmdgusya/engineering-discipline long-run --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tmdgusya/engineering-discipline.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/long-run .opencode/skills/long-run && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "long-run" agent skill from https://github.com/tmdgusya/engineering-discipline/tree/main/skills/long-run into .opencode/skills/long-run/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "long-run", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
long-run- GitHub stars
- 125
- Token cost
- ~5.4k tokens
- SKILL.md length
- 2,611 words
- Files
- 1
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- None found
At a glance
Orchestrates multi-day execution of complex tasks through milestones.
- Works in 4 steps: Load and Validate State → Milestone Execution Loop → Parallel Milestone Execution → …
- The user says long run
- SKILL.md covers Core Principle, Hard Gates, When To Use and When NOT To Use, plus 11 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Long Run is an agent skill from tmdgusya/engineering-discipline. Orchestrates multi-day execution of complex tasks through milestones. Each milestone goes through plan-crafting, run-plan (worker-validator), and review-work phases with checkpoint/recovery. Runs autonomously end-to-end — no per-milestone approval gates; escalates to the user only on failures. Triggers when the user says "long run", "start long run", "execute milestones", or "run all milestones".
Its SKILL.md is about 5.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Product & Project Management, covering Project management. The repository describes itself as: SKILL for engineering-discipline.
When your agent uses it
- The user says long run
- Execute milestones
- Run all milestones
Example prompts
- “long run”
- “start long run”
- “execute milestones”
- “/long-run”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Load and Validate State
- Milestone Execution Loop
- Parallel Milestone Execution
- Completion
What it can do on your machine
Read from SKILL.md and the folder at commit 137dead. 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 (its code samples are markdown).
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
Long Run loads about 5.4k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 2,611 words of instructions outside code blocks.
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: warnings
The automated check found patterns that need a careful read before installing.
- WarningTells the agent its actions are pre-authorized / not to stop for confirmationSKILL.md:126
port and proceed directly to execution. Do not wait for approval.
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 2,611 words (~5,383 tokens).
“Orchestrates multi-day execution of complex tasks through a milestone pipeline. Each milestone passes through plan-crafting → run-plan → review-work with checkpoints between milestones for recovery from interruptions.”
- name
- long-run
Files
Just SKILL.md in skills/long-run of tmdgusya/engineering-discipline.
Open the folder on GitHubat commit 137dead
Compare with similar skills
Long Run 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Long Run this skilltmdgusya/engineering-discipline | 125 | — | ~5.4k | Automated safety check: Warn | None | |
| CCPM Project Managementautomazeio/ccpm | 8.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Uvastral-sh/claude-code-plugins | 313 | 2 repos | ~980 | Automated safety check: Pass | Apache-2.0 | |
| Project Managementkunchenguid/firstmate | 7.7k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Hivemind Goalsactiveloopai/hivemind | 1.6k | — | ~1.7k | Automated safety check: Notes | Apache-2.0 | |
| Ichartjswanghetommy/ichartjs | 352 | — | ~4.3k | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
Uv
astral-sh/claude-code-plugins
Guide for using uv, the Python package and project manager. An agent skill from astral-sh/claude-code-plugins.
Project Management
kunchenguid/firstmate
Agent-only procedure for Firstmate project management. An agent skill from kunchenguid/firstmate.
Hivemind Goals
activeloopai/hivemind
Create, track and update team goals via the Deeplake virtual filesystem at memory/goal/.
Ichartjs
wanghetommy/ichartjs
Plan, validate, render, explain, and safely edit iChart.js visualizations from tabular, project, or diagram data.
Hivemind Goals
activeloopai/hivemind
Create, track and update team goals in Hivemind via the hivemind CLI.
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A skill your agent uses when a task's scope is clear and multi-step implementation is needed, before touching code.
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Related
Categories
Questions about Long Run
What does Long Run do?
Orchestrates multi-day execution of complex tasks through milestones. Long Run is an agent skill from tmdgusya/engineering-discipline. Orchestrates multi-day execution of complex tasks through milestones.
When should I use Long Run?
Long Run fits situations like: the user says long run; execute milestones; run all milestones.
How do I install Long Run in Claude Code?
Run `npx skills add tmdgusya/engineering-discipline --skill long-run -a claude-code`. Or copy the skill folder (skills/long-run in tmdgusya/engineering-discipline) into .claude/skills/long-run in your project. Claude Code loads it when a task matches its description.
How do I install Long Run in Codex?
Run `npx skills add tmdgusya/engineering-discipline --skill long-run -a codex`. Or copy the skill folder (skills/long-run in tmdgusya/engineering-discipline) into .agents/skills/long-run in your project. Codex loads it when a task matches its description.
Can I use Long Run 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 tmdgusya/engineering-discipline --skill long-run -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/long-run, .gemini/skills/long-run, .github/skills/long-run and .opencode/skills/long-run in your project.
What does Long Run need to run?
SKILL.md names no scripts, command-line tools or credentials: Long Run is instructions for the agent only.
Does Long Run 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 Long Run safe to install?
Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.
What licence does Long Run use?
No licence was found for Long Run or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Long Run use?
About 5.4k tokens (SKILL.md is roughly 22k 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 Long Run?
Skills that share tags, products or a category with Long Run: CCPM Project Management (automazeio/ccpm, 8.4k stars), Uv (astral-sh/claude-code-plugins, 313 stars), Project Management (kunchenguid/firstmate, 7.7k stars) and Hivemind Goals (activeloopai/hivemind, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Long Run?
tmdgusya (a GitHub user) maintains it in tmdgusya/engineering-discipline, which has 125 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on July 3, 2026.
Source: tmdgusya/engineering-discipline on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.