Claude Code Agent Development
anthropics/claude-plugins-official
Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes.
$ npx skills add LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-harden -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-teams-simplify-and-harden --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-teams-simplify-and-harden .claude/skills/agent-teams-simplify-and-harden && 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 "agent-teams-simplify-and-harden" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-teams-simplify-and-harden into .claude/skills/agent-teams-simplify-and-harden/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-teams-simplify-and-harden", 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/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-teams-simplify-and-hardenType 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 LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-harden -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-teams-simplify-and-harden --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/agent-teams-simplify-and-harden .agents/skills/agent-teams-simplify-and-harden && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-teams-simplify-and-harden" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-teams-simplify-and-harden into .agents/skills/agent-teams-simplify-and-harden/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-teams-simplify-and-harden", 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 LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-harden -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-teams-simplify-and-harden --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/agent-teams-simplify-and-harden .cursor/skills/agent-teams-simplify-and-harden && 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 "agent-teams-simplify-and-harden" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-teams-simplify-and-harden into .cursor/skills/agent-teams-simplify-and-harden/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-teams-simplify-and-harden", 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/LeoYeAI/openclaw-master-skills.git --path skills/agent-teams-simplify-and-harden--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 LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-harden -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-teams-simplify-and-harden --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/agent-teams-simplify-and-harden .gemini/skills/agent-teams-simplify-and-harden && 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 "agent-teams-simplify-and-harden" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-teams-simplify-and-harden into .gemini/skills/agent-teams-simplify-and-harden/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-teams-simplify-and-harden", 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 LeoYeAI/openclaw-master-skills agent-teams-simplify-and-hardenInstalls 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 LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-harden -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/agent-teams-simplify-and-harden .github/skills/agent-teams-simplify-and-harden && 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 "agent-teams-simplify-and-harden" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-teams-simplify-and-harden into .github/skills/agent-teams-simplify-and-harden/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-teams-simplify-and-harden", 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 LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-harden -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-teams-simplify-and-harden --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/agent-teams-simplify-and-harden .opencode/skills/agent-teams-simplify-and-harden && 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 "agent-teams-simplify-and-harden" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-teams-simplify-and-harden into .opencode/skills/agent-teams-simplify-and-harden/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-teams-simplify-and-harden", 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.
agent-teams-simplify-and-hardenImplementation + audit loop using parallel agent teams with structured simplify, harden, and document passes.
Agent Teams Simplify And Harden is an agent skill from LeoYeAI/openclaw-master-skills. Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle.
Its SKILL.md is about 5.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).
It sits in Agent Workflows, covering Subagents. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npxgitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx and git, which can reach the network depending on how they are called.
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.
Agent Teams Simplify And Harden loads about 5.1k tokens when it runs. Until then it costs about 137 tokens; SKILL.md has 1,045 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 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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,045 words, ~5,057 tokens.
.claude/skills/agent-teams-simplify-and-harden/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.npx skills add pskoett/pskoett-ai-skills/agent-teams-simplify-and-hardenA two-phase team loop that produces production-quality code: implement, then audit using simplify + harden passes, then fix audit findings, then re-audit, repeating until the codebase is solid or the loop cap is reached.
┌──────────────────────────────────────────────────────────┐
│ TEAM LEAD (you) │
│ │
│ Phase 1: IMPLEMENT (+ document pass on fix rounds) │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ impl-1 │ │ impl-2 │ │ impl-3 │ ... │
│ │ (general │ │ (general │ │ (general │ │
│ │ purpose) │ │ purpose) │ │ purpose) │ │
│ └──────────┘ └──────────┘ └──────────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌─────────────────────────────────────┐ │
│ │ Verify: compile + tests │ │
│ └─────────────────────────────────────┘ │
│ │ │
│ Phase 2: SIMPLIFY & HARDEN AUDIT │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ simplify │ │ harden │ │ spec │ ... │
│ │ auditor │ │ auditor │ │ auditor │ │
│ │ (Explore)│ │ (Explore)│ │ (Explore)│ │
│ └──────────┘ └──────────┘ └──────────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ Exit conditions met? │
│ YES → Produce summary. Ship it. │
│ NO → back to Phase 1 with findings as tasks │
│ (max 3 audit rounds) │
└──────────────────────────────────────────────────────────┘The loop exits when ANY of these are true:
low -- fix them inline (team lead or a single impl agent) and exit without re-auditingBudget guidance: Track the cumulative diff growth across rounds. If fix rounds have added more than 30% on top of the original implementation diff, tighten the scope: skip medium/low simplify findings and focus only on harden patches and spec gaps.
TeamCreate:
team_name: "<project>-harden"
description: "Implement and harden <description>"Break the work into discrete, parallelizable tasks. Each task should be independent enough for one agent to complete without blocking on others.
TaskCreate for each unit of work:
subject: "Implement <specific thing>"
description: "Detailed requirements, file paths, acceptance criteria"
activeForm: "Implementing <thing>"Set up dependencies if needed:
TaskUpdate: { taskId: "2", addBlockedBy: ["1"] }Spawn general-purpose agents (they can read, write, and edit files). One per task or one per logical group. Run them in parallel.
Task tool (spawn teammate):
subagent_type: general-purpose
team_name: "<project>-harden"
name: "impl-<area>"
mode: bypassPermissions
prompt: |
You are an implementation agent on the <project>-harden team.
Your name is impl-<area>.
Check TaskList for your assigned tasks and complete them.
After completing each task, mark it completed and check for more.
Quality gates:
- Code must compile cleanly (substitute your project's compile
command, e.g. bunx tsc --noEmit, cargo build, go build ./...)
- Tests must pass (substitute your project's test command,
e.g. bun test, pytest, go test ./...)
- Follow existing code patterns and conventions
When all your tasks are done, notify the team lead.Monitor agent messages. When all implementation agents report done:
Before spawning auditors, collect the list of files modified in this session:
git diff --name-only <base-branch> # or: git diff --name-only HEAD~NYou will pass this file list to each auditor.
Spawn Explore agents (read-only -- they cannot edit files, which prevents them from "fixing" issues silently). Each auditor covers a different concern using the Simplify & Harden methodology.
Recommended audit dimensions:
| Auditor | Focus | Mindset |
|---|---|---|
| simplify-auditor | Code clarity and unnecessary complexity | "Is there a simpler way to express this?" |
| harden-auditor | Security and resilience gaps | "If someone malicious saw this, what would they try?" |
| spec-auditor | Implementation vs spec/plan completeness | "Does the code match what was asked for?" |
Task tool (spawn teammate):
subagent_type: Explore
team_name: "<project>-harden"
name: "simplify-auditor"
prompt: |
You are a simplify auditor on the <project>-harden team.
Your name is simplify-auditor.
Your job is to find unnecessary complexity -- NOT fix it. You are
read-only.
SCOPE: Only review the following files (modified in this session).
Do NOT flag issues in other files, even if you notice them.
Files to review:
<paste file list here>
Fresh-eyes start (mandatory): Before reporting findings, re-read all
listed changed code with "fresh eyes" and actively look for obvious
bugs, errors, confusing logic, brittle assumptions, naming issues,
and missed hardening opportunities.
Review each file and check for:
1. Dead code and scaffolding -- debug logs, commented-out attempts,
unused imports, temporary variables left from iteration
2. Naming clarity -- function names, variables, and parameters that
don't read clearly when seen fresh
3. Control flow -- nested conditionals that could be flattened, early
returns that could replace deep nesting, boolean expressions that
could be simplified
4. API surface -- public methods/functions that should be private,
more exposure than necessary
5. Over-abstraction -- classes, interfaces, or wrapper functions not
justified by current scope. Agents tend to over-engineer.
6. Consolidation -- logic spread across multiple functions/files that
could live in one place
For each finding, categorize as:
- **Cosmetic** (dead code, unused imports, naming, control flow,
visibility reduction) -- low risk, easy fix
- **Refactor** (consolidation, restructuring, abstraction changes)
-- only flag when genuinely necessary, not just "slightly better."
The bar: would a senior engineer say the current state is clearly
wrong, not just imperfect?
For each finding report:
1. File and line number
2. Category (cosmetic or refactor)
3. What's wrong
4. What it should be (specific fix, not vague)
5. Severity: high / medium / low
If you notice issues outside the scoped files, list them separately
under "Out-of-scope observations" at the end.
Be thorough within scope. Check every listed file.
When done, send your complete findings to the team lead.
If you find ZERO in-scope issues, say so explicitly.Task tool (spawn teammate):
subagent_type: Explore
team_name: "<project>-harden"
name: "harden-auditor"
prompt: |
You are a security/harden auditor on the <project>-harden team.
Your name is harden-auditor.
Your job is to find security and resilience gaps -- NOT fix them.
You are read-only.
SCOPE: Only review the following files (modified in this session).
Do NOT flag issues in other files, even if you notice them.
Files to review:
<paste file list here>
Fresh-eyes start (mandatory): Before reporting findings, re-read all
listed changed code with "fresh eyes" and actively look for obvious
bugs, errors, confusing logic, brittle assumptions, naming issues,
and missed hardening opportunities.
Review each file and check for:
1. Input validation -- unvalidated external inputs (user input, API
params, file paths, env vars), type coercion issues, missing
bounds checks, unconstrained string lengths
2. Error handling -- non-specific catch blocks, errors logged without
context, swallowed exceptions, sensitive data in error messages
3. Injection vectors -- SQL injection, XSS, command injection, path
traversal, template injection in string-building code
4. Auth and authorization -- endpoints or functions missing auth,
incorrect permission checks, privilege escalation risks
5. Secrets and credentials -- hardcoded secrets, API keys, tokens,
credentials in log output, unparameterized connection strings
6. Data exposure -- internal state in error output, stack traces in
responses, PII in logs, database schemas leaked
7. Dependency risk -- new dependencies that are unmaintained, poorly
versioned, or have known vulnerabilities
8. Race conditions -- unsynchronized shared resources, TOCTOU
vulnerabilities in concurrent code
For each finding, categorize as:
- **Patch** (adding validation, escaping output, removing a secret)
-- straightforward fix
- **Security refactor** (restructuring auth flow, replacing a
vulnerable pattern) -- requires structural changes
For each finding report:
1. File and line number
2. Category (patch or security refactor)
3. What's wrong
4. Severity: critical / high / medium / low
5. Attack vector (if applicable)
6. Specific fix recommendation
If you notice issues outside the scoped files, list them separately
under "Out-of-scope observations" at the end.
Be thorough within scope. Check every listed file.
When done, send your complete findings to the team lead.
If you find ZERO in-scope issues, say so explicitly.Task tool (spawn teammate):
subagent_type: Explore
team_name: "<project>-harden"
name: "spec-auditor"
prompt: |
You are a spec auditor on the <project>-harden team.
Your name is spec-auditor.
Your job is to find gaps between implementation and spec/plan --
NOT fix them. You are read-only.
SCOPE: Only review the following files (modified in this session).
Do NOT flag issues in other files, even if you notice them.
Files to review:
<paste file list here>
Fresh-eyes start (mandatory): Before reporting findings, re-read all
listed changed code with "fresh eyes" and actively look for obvious
bugs, errors, confusing logic, brittle assumptions, and
implementation/spec mismatches before running the spec checklist.
Review each file against the spec/plan and check for:
1. Missing features -- spec requirements that have no corresponding
implementation
2. Incorrect behavior -- logic that contradicts what the spec
describes (wrong conditions, wrong outputs, wrong error handling)
3. Incomplete implementation -- features that are partially built
but missing edge cases, error paths, or configuration the spec
requires
4. Contract violations -- API shapes, response formats, status
codes, or error messages that don't match the spec
5. Test coverage -- untested code paths, missing edge case tests,
assertions that don't verify enough, happy-path-only testing
6. Acceptance criteria gaps -- spec conditions that aren't verified
by any test
For each finding, categorize as:
- **Missing** -- feature or behavior not implemented at all
- **Incorrect** -- implemented but wrong
- **Incomplete** -- partially implemented, gaps remain
- **Untested** -- implemented but no test coverage
For each finding report:
1. File and line number (or "N/A -- not implemented")
2. Category (missing, incorrect, incomplete, untested)
3. What the spec requires (quote or reference the spec)
4. What the implementation does (or doesn't do)
5. Severity: critical / high / medium / low
If you notice issues outside the scoped files, list them separately
under "Out-of-scope observations" at the end.
Be thorough within scope. Cross-reference every spec requirement.
When done, send your complete findings to the team lead.
If you find ZERO in-scope issues, say so explicitly.Collect findings from all auditors. For each finding:
Refactor gate: For findings categorized as refactor or security refactor, evaluate whether the refactor is genuinely necessary before creating a task. The bar: "Would a senior engineer say the current state is clearly wrong, not just imperfect?" Reject refactor proposals that are style preferences or marginal improvements.
Exit check: If all findings in this round are severity low, fix them inline and skip re-auditing (see Loop Limits).
When creating fix tasks, bundle a document pass into each implementation agent's work:
After fixing your assigned issues, add up to 5 single-line comments across the files you touched on non-obvious decisions:
- Logic that needs more than 5 seconds of "why does this exist?" thought
- Workarounds or hacks, with context and a TODO for removal conditions
- Performance choices and why the current approach was picked
Do NOT comment on the audit fixes themselves -- only on decisions from the original implementation that lack explanation.
This keeps the document pass lightweight and scoped. Auditors in subsequent rounds should not flag these comments as findings.
If there are findings to fix:
When exit conditions are met:
// TODO or // FIXME comments introduced without corresponding tasksProduce a final summary for the session:
## Hardening Summary
**Audit rounds completed:** 2 of 3 max
**Exit reason:** Clean audit (all auditors reported zero findings)
### Findings by round
Round 1:
- simplify-auditor: 4 cosmetic, 1 refactor (rejected -- style preference)
- harden-auditor: 2 patches, 1 security refactor (approved)
- spec-auditor: 1 missing feature
Round 2:
- simplify-auditor: 0 findings
- harden-auditor: 0 findings
- spec-auditor: 0 findings
### Actions taken
- Fixed: 6 findings (4 cosmetic, 2 patches, 1 security refactor, 1 missing feature -- rejected refactor excluded)
- Skipped: 1 refactor proposal (reason: style preference, not a defect)
- Document pass: 3 comments added across 2 files
### Unresolved
- None
### Out-of-scope observations
- <any out-of-scope items auditors flagged, for future reference>Adapt the format to your context. The goal is a clear record of what was found, what was fixed, what was skipped and why, and what remains.
Send shutdown requests to all agents, then delete the team:
SendMessage type: shutdown_request to each agent
TeamDelete| Codebase / Task Size | Impl Agents | Audit Agents |
|---|---|---|
| Small (< 10 files) | 1-2 | 2 (simplify + harden) |
| Medium (10-30 files) | 2-3 | 2-3 |
| Large (30+ files) | 3-5 | 3 (simplify + harden + spec) |
More agents = more parallelism but more coordination overhead. For most tasks, 2-3 implementation agents and 2-3 auditors is the sweet spot.
general-purpose -- they need write accessExplore -- read-only prevents them from silently "fixing" things, which defeats the purpose of auditingowner on tasks via TaskUpdate so agents know what to work on immediately1. Read spec, identify 8 features to implement
2. TeamCreate: "feature-harden"
3. TaskCreate x8 (one per feature)
4. Spawn 3 impl agents, assign ~3 tasks each
5. Wait → all done → compile clean → tests pass
6. Collect modified file list (git diff --name-only)
7. Spawn 3 auditors: simplify-auditor, harden-auditor, spec-auditor
8. Simplify-auditor finds 4 cosmetic + 1 refactor proposal
9. Harden-auditor finds 2 patches + 1 security refactor
10. Spec-auditor finds 1 missing feature
11. Team lead evaluates refactors (approve security refactor,
reject simplify refactor), creates fix + document tasks
12. Spawn 2 impl agents for fixes
13. Wait → compile clean → tests pass
14. Round 2: Spawn 3 fresh auditors
15. Auditors find 0 issues → exit condition met
16. Produce hardening summary
17. Shutdown agents, TeamDeleteThese must pass before the loop can exit:
// TODO or // FIXME comments introduced without corresponding tasks© LeoYeAI, MIT. 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 1 other file in skills/agent-teams-simplify-and-harden of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Agent Teams Simplify And Harden 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 |
|---|---|---|---|---|---|---|
| Agent Teams Simplify And Harden this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.1k | Automated safety check: Pass | MIT | |
| Claude Code Agent Developmentanthropics/claude-plugins-official | 38k | 7 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Subagent Driven DevelopmentAsvarox/allkaraoke | 261 | 38 repos | ~1.2k | Automated safety check: Pass | None | |
| Dispatching Parallel Agentsultralisp/ultralisp | 258 | 41 repos | ~1.5k | Automated safety check: Pass | None | |
| Reflect on Session Learningscursor/plugins | 11k | 5 repos | ~1.2k | Automated safety check: Pass | None | |
| Paseo Advisor Second Opiniongetpaseo/paseo | 20k | 1 repos | ~756 | Automated safety check: Pass | Custom licence |
anthropics/claude-plugins-official
Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.
Asvarox/allkaraoke
A skill your agent uses when executing implementation plans with independent tasks in the current session
ultralisp/ultralisp
A skill your agent uses when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
cursor/plugins
Starts three parallel reviewer subagents over the current conversation transcript, then turns their findings into concrete edits to existing skills.
getpaseo/paseo
Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.
rebelytics/one-skill-to-rule-them-all
Monitors task execution for skill improvement opportunities.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Categories
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Agent Teams Simplify And Harden is an agent skill from LeoYeAI/openclaw-master-skills. Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes.
Agent Teams Simplify And Harden fits situations like: : implementing features from a spec; hardening existing code; fixing a batch of issues; any multi-file task that benefits from a build-verify-fix cycle.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-harden -a claude-code`. Or copy the skill folder (skills/agent-teams-simplify-and-harden in LeoYeAI/openclaw-master-skills) into .claude/skills/agent-teams-simplify-and-harden in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-harden -a codex`. Or copy the skill folder (skills/agent-teams-simplify-and-harden in LeoYeAI/openclaw-master-skills) into .agents/skills/agent-teams-simplify-and-harden 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 LeoYeAI/openclaw-master-skills --skill agent-teams-simplify-and-harden -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-teams-simplify-and-harden, .gemini/skills/agent-teams-simplify-and-harden, .github/skills/agent-teams-simplify-and-harden and .opencode/skills/agent-teams-simplify-and-harden in your project.
Going by SKILL.md and its folder, Agent Teams Simplify And Harden needs the command-line tools its instructions call (npx and git). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx and git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Agent Teams Simplify And Harden is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.1k tokens (SKILL.md is roughly 20k 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 Agent Teams Simplify And Harden: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Reflect on Session Learnings (cursor/plugins, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.