Subagent Driven Development
Asvarox/allkaraoke
A skill your agent uses when executing implementation plans with independent tasks in the current session
Executes plans via fresh subagents per task with two-stage review (spec → quality).
$ npx skills add softspark/ai-toolkit --skill subagent-development -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install softspark/ai-toolkit subagent-development --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/softspark/ai-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/app/skills/subagent-development .claude/skills/subagent-development && 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 "subagent-development" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/subagent-development into .claude/skills/subagent-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "subagent-development", 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/softspark/ai-toolkit/tree/main/app/skills/subagent-developmentType 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 softspark/ai-toolkit --skill subagent-development -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install softspark/ai-toolkit subagent-development --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/app/skills/subagent-development .agents/skills/subagent-development && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "subagent-development" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/subagent-development into .agents/skills/subagent-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "subagent-development", 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 softspark/ai-toolkit --skill subagent-development -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install softspark/ai-toolkit subagent-development --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/app/skills/subagent-development .cursor/skills/subagent-development && 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 "subagent-development" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/subagent-development into .cursor/skills/subagent-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "subagent-development", 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/softspark/ai-toolkit.git --path app/skills/subagent-development--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 softspark/ai-toolkit --skill subagent-development -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install softspark/ai-toolkit subagent-development --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/app/skills/subagent-development .gemini/skills/subagent-development && 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 "subagent-development" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/subagent-development into .gemini/skills/subagent-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "subagent-development", 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 softspark/ai-toolkit subagent-developmentInstalls 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 softspark/ai-toolkit --skill subagent-development -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/app/skills/subagent-development .github/skills/subagent-development && 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 "subagent-development" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/subagent-development into .github/skills/subagent-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "subagent-development", 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 softspark/ai-toolkit --skill subagent-development -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install softspark/ai-toolkit subagent-development --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/app/skills/subagent-development .opencode/skills/subagent-development && 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 "subagent-development" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/subagent-development into .opencode/skills/subagent-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "subagent-development", 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.
subagent-developmentExecutes plans via fresh subagents per task with two-stage review (spec → quality).
Subagent Development is an agent skill from softspark/ai-toolkit. Executes plans via fresh subagents per task with two-stage review (spec → quality). Triggers: subagent execution, execute plan, fresh agent per task, spec compliance review.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `reference/code-quality-reviewer-prompt.md`, `reference/implementer-prompt.md` and `reference/spec-reviewer-prompt.md`).
It sits in Agent Workflows, covering Subagents, Planning and Regulatory compliance. The repository describes itself as: Professional-grade AI coding toolkit: 94 skills, 44 agents, multi-platform (Claude, Cursor, Windsurf, Copilot, Gemini, Cline, Roo Code, Aider, Augment, Antigravity, Codex CLI… The licence is Apache-2.0.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d64db2b. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditGrepGlobBashAgentTaskCreateTaskListTaskUpdate…and 1 more on the same allowed-tools line.
From allowed-tools in the SKILL.md frontmatter.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Subagent Development loads about 2.2k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 887 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Edit, Grep, Glob, Bash, Agent, TaskCreate, TaskList, TaskUpdate, TaskGetAutomated 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.
The full file from softspark/ai-toolkit at commit d64db2b, republished under its Apache-2.0 licence (© softspark). 887 words, ~2,201 tokens.
.claude/skills/subagent-development/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.$ARGUMENTS
Execute implementation plans by dispatching fresh subagents per task, then running a two-stage review gate: spec compliance first, code quality second. Fresh context per subagent prevents accumulated confusion. Two-stage review catches different failure modes: spec review catches wrong behavior, quality review catches bad structure.
/subagent-development [plan file or task description]| Property | Benefit |
|---|---|
| Fresh subagent per task | No accumulated context drift or confusion |
| Spec review first | Catches wrong behavior before quality review wastes time on wrong code |
| Quality review second | Catches structural issues after behavior is confirmed correct |
| Sequential tasks | No merge conflicts, each task builds on verified previous work |
Read plan
|
v
Extract ordered task list
|
v
For each task:
|
+---> [1] Dispatch IMPLEMENTER subagent
| |
| v
| Handle status (see Status Protocol)
| |
| v
+---> [2] Dispatch SPEC REVIEWER subagent
| |
| v
| APPROVED? --no--> fix issues, re-review
| |
| yes
| |
| v
+---> [3] Dispatch QUALITY REVIEWER subagent
| |
| v
| Critical issues? --yes--> fix, re-review
| |
| no
| v
| Mark task complete
|
v
Next task (or done)Read the plan file. Extract:
Present the task list to the user. Wait for approval before proceeding.
<!-- CLAUDE_CODE_ONLY_START -->
Only in Claude Code, apply the model-routing-patterns skill when choosing
executors or creating agent definitions. Delegate to codex:codex-rescue only
when its plugin is installed, enabled and callable in this session. Otherwise
use the installed native agents and their configured models. A context without
the Agent tool returns the dispatch decision to its supervisor; it does not
invent a tool or bypass the client. Preserve explicit user choices and verify
actual completion before accepting a delegated result.
<!-- CLAUDE_CODE_ONLY_END -->
For each task in order:
Before dispatching the implementer, gather:
Use the Agent tool with the implementer prompt template.
Keep the agent's configured model and effort by default. If the user has approved model routing, select an available, capability-compatible route using this workload guide; do not infer permission to change tier or spending from task size:
| Task Type | Model | Examples |
|---|---|---|
| Mechanical | Approved low-latency route | Rename, move, config change, 1-2 files with clear spec |
| Integration | Approved balanced route | Wire up existing components, add endpoint using established patterns |
| Design/Complex | Approved higher-capability route, if evals justify it | New architecture, complex algorithms, cross-cutting concerns |
The implementer reports one of four statuses:
| Status | Handling |
|---|---|
| DONE | Proceed to spec review |
| DONE_WITH_CONCERNS | Read concerns. If they relate to correctness or scope violations, address them before review. If observational only (style preference, future improvement), note them and proceed to spec review |
| NEEDS_CONTEXT | Provide the missing context the implementer identified. Re-dispatch with the same task plus the additional context |
| BLOCKED | Assess the blocker. Context problem: re-dispatch with better context. Capability problem: use a compatible route only within an approved model/budget policy, otherwise ask. Plan is wrong or ambiguous: escalate to user for clarification |
Use the Agent tool with the spec reviewer prompt template.
The spec reviewer checks:
If APPROVED: proceed to quality review.
If issues found: fix the issues (re-dispatch implementer with specific fix instructions or fix inline if trivial), then re-run spec review. Do not proceed to quality review until spec review passes.
Use the Agent tool with the quality reviewer prompt template.
The quality reviewer categorizes findings:
| Category | Action |
|---|---|
| Critical | Must fix before proceeding. Re-dispatch implementer or fix inline |
| Important | Should fix. Fix now unless time-boxed, then document for follow-up |
| Suggestions | Nice to have. Note for future improvement, do not block progress |
After fixing any Critical issues, re-run quality review to confirm.
Record:
After all tasks complete, produce:
## Subagent Development Report
### Plan
[Plan file or description]
### Tasks Completed
| # | Task | Files Modified | Status | Notes |
|---|------|---------------|--------|-------|
| 1 | ... | ... | Done | ... |
| 2 | ... | ... | Done | ... |
### Deferred Items
- [Any "Important" or "Suggestion" issues not addressed]
### Verification
- [ ] All tasks implemented
- [ ] All spec reviews passed
- [ ] All quality reviews passed (no Critical issues remaining)
- [ ] Tests passBefore dispatching, check the configured agent model, user choice, client availability, tool/output capabilities and budget. Keep those settings unless an override is explicitly approved. An API model ID is not an editor picker label, and a Claude alias is not a portable identifier for another provider.
For an approved routing experiment, compare representative mechanical,
integration, design and review tasks at fixed acceptance criteria. Review
quality depends on evidence and coverage, not simply the highest-priced model.
Use model-routing-patterns and kb/reference/model-compatibility.md; do not
select a universally cheapest or most capable model from a static prompt table.
Spec compliance review MUST pass BEFORE quality review starts.Rationale: quality-reviewing code that does the wrong thing wastes everyone's time. Confirm the code does what was asked first, then confirm it does it well.
If you observe any of these, stop and correct course:
[ ] Context gathered for this specific task
[ ] Implementer dispatched with correct model
[ ] Implementer status handled per protocol
[ ] Spec review passed (all requirements met, nothing extra, nothing missing)
[ ] Quality review passed (no Critical issues)
[ ] Task marked complete with file list and notes© softspark, 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
SKILL.md and 3 other files in app/skills/subagent-development of softspark/ai-toolkit.
Open the folder on GitHubat commit d64db2b
Subagent Development 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 |
|---|---|---|---|---|---|---|
| Subagent Development this skillsoftspark/ai-toolkit | 179 | — | ~2.2k | Automated safety check: Notes | Apache-2.0 | |
| Subagent Driven DevelopmentAsvarox/allkaraoke | 261 | 37 repos | ~1.2k | Automated safety check: Pass | None | |
| Executing PlansGanyuanRan/Aegis | 1.3k | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Execumputun/cc-thingz | 483 | — | ~8k | Automated safety check: Pass | MIT | |
| Autopilot End-to-End Buildernick-vels/skills | 403 | — | ~2.5k | Automated safety check: Notes | MIT | |
| Workflow Orchestrationvxcozy/workflow-orchestration | 115 | — | ~1k | Automated safety check: Pass | MIT |
Asvarox/allkaraoke
A skill your agent uses when executing implementation plans with independent tasks in the current session
GanyuanRan/Aegis
A skill your agent uses when executing a written implementation plan across sessions or with review checkpoints.
umputun/cc-thingz
Execute plan tasks sequentially using subagents. An agent skill from umputun/cc-thingz.
nick-vels/skills
Builds an app, site, bot or feature from a spoken idea through requirements, spec, tickets, subagent work, review and acceptance, with a live progress dashboard.
vxcozy/workflow-orchestration
Disciplined task execution with planning, verification, and self-improvement loops.
byungjunjang/jangpm-meta-skills
Agentic system design blueprint generator. An agent skill from byungjunjang/jangpm-meta-skills.
softspark/ai-toolkit
Prepare or verify a project QA environment with source identity, readiness, browser access, evidence paths and owned cleanup.
softspark/ai-toolkit
Accessibility validator: WCAG 2.1 AA, EN 301 549, EAA. An agent skill from softspark/ai-toolkit.
softspark/ai-toolkit
Analyzes code quality, complexity, patterns across codebase.
softspark/ai-toolkit
Drives a brief, specification, issue or existing PR through implementation, review, tests and QA to a ready PR.
softspark/ai-toolkit
Direct technical voice for docs, README, user-facing text. An agent skill from softspark/ai-toolkit.
softspark/ai-toolkit
Detect/generate/debug CI pipeline config (GitHub Actions, GitLab CI).
Categories
Executes plans via fresh subagents per task with two-stage review (spec → quality). Subagent Development is an agent skill from softspark/ai-toolkit. Executes plans via fresh subagents per task with two-stage review (spec → quality).
Subagent Development fits situations like: tasks that involve Subagents; tasks that involve Planning; tasks that involve Regulatory compliance.
Run `npx skills add softspark/ai-toolkit --skill subagent-development -a claude-code`. Or copy the skill folder (app/skills/subagent-development in softspark/ai-toolkit) into .claude/skills/subagent-development in your project. Claude Code loads it when a task matches its description.
Run `npx skills add softspark/ai-toolkit --skill subagent-development -a codex`. Or copy the skill folder (app/skills/subagent-development in softspark/ai-toolkit) into .agents/skills/subagent-development in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add softspark/ai-toolkit --skill subagent-development -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/subagent-development, .gemini/skills/subagent-development, .github/skills/subagent-development and .opencode/skills/subagent-development in your project.
SKILL.md names no scripts, command-line tools or credentials: Subagent Development is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash, Agent, TaskCreate, TaskList, TaskUpdate, TaskGet.
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.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Subagent Development 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.
About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Subagent Development: Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Executing Plans (GanyuanRan/Aegis, 1.3k stars), Exec (umputun/cc-thingz, 483 stars) and Autopilot End-to-End Builder (nick-vels/skills, 403 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
softspark (a GitHub user) maintains it in softspark/ai-toolkit, which has 179 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on October 7, 2026.
Source: softspark/ai-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.