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AI DevKit · Track dev-lifecycle / structured-debug progress on a durable task with the ai-devkit task CLI.
Apache-2.0Auto-check passed
Install Task
$ npx skills add codeaholicguy/ai-devkit --skill task -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install codeaholicguy/ai-devkit task --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/codeaholicguy/ai-devkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/task .claude/skills/task && 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 "task" agent skill from https://github.com/codeaholicguy/ai-devkit/tree/main/skills/task into .claude/skills/task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task", 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/codeaholicguy/ai-devkit/tree/main/skills/taskType 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 codeaholicguy/ai-devkit --skill task -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install codeaholicguy/ai-devkit task --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/codeaholicguy/ai-devkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/task .agents/skills/task && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "task" agent skill from https://github.com/codeaholicguy/ai-devkit/tree/main/skills/task into .agents/skills/task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task", 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 codeaholicguy/ai-devkit --skill task -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install codeaholicguy/ai-devkit task --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/codeaholicguy/ai-devkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/task .cursor/skills/task && 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 "task" agent skill from https://github.com/codeaholicguy/ai-devkit/tree/main/skills/task into .cursor/skills/task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task", 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/codeaholicguy/ai-devkit.git --path skills/task--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 codeaholicguy/ai-devkit --skill task -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install codeaholicguy/ai-devkit task --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/codeaholicguy/ai-devkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/task .gemini/skills/task && 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 "task" agent skill from https://github.com/codeaholicguy/ai-devkit/tree/main/skills/task into .gemini/skills/task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task", 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 codeaholicguy/ai-devkit taskInstalls 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 codeaholicguy/ai-devkit --skill task -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/codeaholicguy/ai-devkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/task .github/skills/task && 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 "task" agent skill from https://github.com/codeaholicguy/ai-devkit/tree/main/skills/task into .github/skills/task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task", 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 codeaholicguy/ai-devkit --skill task -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install codeaholicguy/ai-devkit task --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/codeaholicguy/ai-devkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/task .opencode/skills/task && 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 "task" agent skill from https://github.com/codeaholicguy/ai-devkit/tree/main/skills/task into .opencode/skills/task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "task", 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
task- GitHub stars
- 1.6k
- Token cost
- ~1.9k tokens
- SKILL.md length
- 629 words
- Files
- 2
- Skills in repo
- 28
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
AI DevKit · Track dev-lifecycle / structured-debug progress on a durable task with the ai-devkit task CLI.
- Works in 6 steps: Run the agent-management… → Match the current agent entry from that… → Build actor flags from the matched entry → …
- Validation evidence
- SKILL.md covers Core idea, Identify self, Canonical commands and When to emit (by workflow), plus 1 more section
- Calls npx
What it does
Task is an agent skill from codeaholicguy/ai-devkit. AI DevKit · Track dev-lifecycle / structured-debug progress on a durable task with the ai-devkit task CLI. Use to record phase, progress, next step, blockers, and validation evidence.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
The repository describes itself as: The control plane for AI coding agents. The licence is Apache-2.0.
When your agent uses it
- Validation evidence
Example prompts
- “/task”
Requirements
- Node.js
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Run the agent-management self-identification workflow with npx ai-devkit@latest agent list --json.
- Match the current agent entry from that list. Prefer an exact session match when available; otherwise use the unambiguous entry for the…
- Build actor flags from the matched entry
- If identity is ambiguous, do not guess. Continue task logging without actor
- Add --agent --agent-type --pid --session to every mutation command once known. If a task already
- If actor identity is unknown, run the same mutation commands without the four
What it can do on your machine
Read from SKILL.md and the folder at commit 7ef0cd5. 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
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
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
Task loads about 1.9k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 629 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 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 codeaholicguy/ai-devkit at commit 7ef0cd5, republished under its Apache-2.0 licence (© codeaholicguy). 629 words, ~1,881 tokens.
Download SKILL.mdSave it as
.claude/skills/task/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- task
- description
- AI DevKit · Track dev-lifecycle / structured-debug progress on a durable task with the ai-devkit task CLI. Use to record phase, progress, next step, blockers, and validation evidence.
Task Progress Tracking
Record development progress on a durable task: phase, progress, next step, blockers, and validation evidence.
Requires the optional task command. Use npx ai-devkit@latest for task and
agent commands. Before recording task events, run a real read probe:
npx ai-devkit@latest task list --json
# or, when a task name is known:
npx ai-devkit@latest task list --name <task-name> --jsonOnly treat task tracing as available when the read probe exits 0. If it fails, continue without task logging and include the failed command plus stderr/stdout summary in the final report. Do not block the user's work just because optional task tracing is unavailable or unusable.
Core idea
- One task per work item. Create it once; advance its
phasefield as work moves through the lifecycle or debug workflow. <id>can be a task name. Every command below accepts the task name in place of a task id, resolving to the latest non-terminal task. Prefer<task-name>so agents do not track task ids.- Choose stable names. For lifecycle work, use the feature key as the task name. For debugging or review work, choose a short kebab-case task name.
- Emit at checkpoints, not streaming. Phase transitions, task toggles, immediate next-step changes, fresh evidence, blockers discovered/resolved. A handful of calls per session.
- Sequence mutations. Never run task mutation commands in parallel for the
same task. Each mutation reads the current task snapshot and writes it back;
parallel writes can clobber snapshot fields even though events append. Run
create/assign/phase/next/progress/evidence/blocker/artifact/close commands
one at a time, then read back with
show --events --jsonwhen the final state matters. - Attribution is explicit. Identify self once, then pass actor flags on mutation commands.
Identify self
Use agent-management when attribution is needed:
- Run the
agent-managementself-identification workflow withnpx ai-devkit@latest agent list --json. - Match the current agent entry from that list. Prefer an exact session match when available; otherwise use the unambiguous entry for the current project/worktree.
- Build actor flags from the matched entry:
--agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId>. Map JSON fields directly:name->--agent,type->--agent-type,pid->--pid, andsessionId->--session. - If identity is ambiguous, do not guess. Continue task logging without actor flags rather than fabricating attribution.
- Add
--agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId>to every mutation command once known. If a task already exists, runnpx ai-devkit@latest task assign <task-name> --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --jsononce so the task snapshot has current ownership. - If actor identity is unknown, run the same mutation commands without the four actor flags.
Show full SKILL.md (221 more words)Show less
Canonical commands
When self identity is known, add all four actor flags to every mutation command:
--agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId>.
# Create the task once (capture taskId from --json if needed)
npx ai-devkit@latest task create --title "<title>" --name <task-name> --phase requirements --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --json
# If the task already exists, assign current ownership once when known
npx ai-devkit@latest task assign <task-name> --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --json
# Mark real work as active after create/resume
npx ai-devkit@latest task status <task-name> active --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --json
# Advance phase as the lifecycle moves on
npx ai-devkit@latest task phase <task-name> implementation --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --json
# Progress (use --text; positional text is ignored)
npx ai-devkit@latest task progress <task-name> --text "Implementing task CLI" --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --json
# Next step
npx ai-devkit@latest task next <task-name> "Run validation" --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --json
# Blockers
npx ai-devkit@latest task status <task-name> blocked --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --json
npx ai-devkit@latest task blocker <task-name> add "Waiting for review" --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --json
npx ai-devkit@latest task blocker <task-name> resolve <blocker-id> --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --json
npx ai-devkit@latest task status <task-name> active --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --json
# Validation evidence - record after a fresh verify/tdd/test run
npx ai-devkit@latest task evidence <task-name> --passed --command "npm test" --exit-code 0 --summary "tests passed" --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --json
# Reference an artifact (never copies the file)
npx ai-devkit@latest task artifact <task-name> docs/ai/testing/foo.md --kind test-report --description "Testing notes" --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --json
# Read current status / list
npx ai-devkit@latest task show <task-name> --json
npx ai-devkit@latest task list --name <task-name> --json
# Close at lifecycle end
npx ai-devkit@latest task close <task-name> completed --agent <agent-name> --agent-type <agent-type> --pid <pid> --session <sessionId> --jsonWhen to emit (by workflow)
- dev-lifecycle - real read probe first;
createat start when no non-terminal task exists for the feature;assignonce when actor is known; setstatus activewhen real work starts or resumes;phaseon every phase transition;nextafter phase planning;progressafter planning/implementation task toggles;showat resume;close completedonly after final verification/review is done. - verify / tdd / dev-testing -
evidenceafter fresh proof (this is what makes "last validation" trustworthy). Use--failedwhen it fails. - structured-debug - reuse the same commands:
evidencefor repro results,nextfor the next hypothesis,blocker add/resolve,progress. - Any phase -
blocker addwhen blocked,resolvewhen clear;nextto state the immediate next step. Setstatus blockedwhen an open blocker stops progress, and setstatus activeagain after the blocker is resolved.
Tips
- Add
--jsonwhen an agent must parse output (create/show/list). Omit for human-readable checks. - Don't restate obvious nearby files or transient state; keep summaries short.
- Good task records let a later reader answer: who worked on it, which phase it reached, what changed, what is next, what verified the claim, and what blocked or changed scope. Do not log every command; do log those checkpoints.
© codeaholicguy, 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
SKILL.md and 1 other file in skills/task of codeaholicguy/ai-devkit.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit 7ef0cd5
Compare with similar skills
Task 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 |
|---|---|---|---|---|---|---|
| Task this skillcodeaholicguy/ai-devkit | 1.6k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Debugasgeirtj/system_prompts_leaks | 69k | — | ~439 | Automated safety check: Pass | CC0-1.0 | |
| Openclaw Debuggingopenclaw/openclaw | 392k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Debugging Executionsn8n-io/n8n | 207k | — | ~2.6k | Automated safety check: Pass | Custom licence | |
| Debugging Toolkitsickn33/agentic-awesome-skills | 47k | 1 repos | ~344 | Automated safety check: Pass | MIT | |
| Runtime Debugvercel/next.js | 143k | 1 repos | ~618 | Automated safety check: Pass | MIT |
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Debugging Executions
n8n-io/n8n
Debug failed or wrong-output workflow executions using executions tools.
Debugging Toolkit
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A skill your agent uses when working with debugging toolkit smart debug (Alias for debugging-toolkit-smart-debug)
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Questions about Task
What does Task do?
AI DevKit · Track dev-lifecycle / structured-debug progress on a durable task with the ai-devkit task CLI. Task is an agent skill from codeaholicguy/ai-devkit. AI DevKit · Track dev-lifecycle / structured-debug progress on a durable task with the ai-devkit task CLI.
When should I use Task?
Task fits situations like: validation evidence.
How do I install Task in Claude Code?
Run `npx skills add codeaholicguy/ai-devkit --skill task -a claude-code`. Or copy the skill folder (skills/task in codeaholicguy/ai-devkit) into .claude/skills/task in your project. Claude Code loads it when a task matches its description.
How do I install Task in Codex?
Run `npx skills add codeaholicguy/ai-devkit --skill task -a codex`. Or copy the skill folder (skills/task in codeaholicguy/ai-devkit) into .agents/skills/task in your project. Codex loads it when a task matches its description.
Can I use Task 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 codeaholicguy/ai-devkit --skill task -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/task, .gemini/skills/task, .github/skills/task and .opencode/skills/task in your project.
What does Task need to run?
Going by SKILL.md and its folder, Task needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
Does Task access the network?
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Task 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 Task use?
Task 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 Task use?
About 1.9k tokens (SKILL.md is roughly 7.5k 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 Task?
Skills that share tags, products or a category with Task: Debug (asgeirtj/system_prompts_leaks, 69k stars), Openclaw Debugging (openclaw/openclaw, 392k stars), Debugging Executions (n8n-io/n8n, 207k stars) and Debugging Toolkit (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Task?
codeaholicguy (a GitHub user) maintains it in codeaholicguy/ai-devkit, which has 1,642 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 7, 2026.
Source: codeaholicguy/ai-devkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.