teamplay-deep
Run cost-first Teamplay with stronger specification, invariants, and evidence while keeping Luna max as the default Coder.
Skill by youngchangjo
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/youngchangjo-teamplay-deep
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/teamplay-deep
What's inside
- Skill name
teamplay-deep- Description
- Run cost-first Teamplay with stronger specification, invariants, and evidence while keeping Luna max as the default Coder. Sol is prohibited; Terra xhigh remains explicit or evidenced post-Luna exception only. Use when the user invokes "$teamplay-deep" or asks for difficult cross-cutting work.
- License
- MIT
- Instructions
- 18 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Teamplay Deep Read and apply `../teamplay/SKILL.md` with: ```yaml requested_preset: deep ``` - Strengthen invariant, compatibility, rollback, and adversarial evidence detail. - Use the same Luna-first R0-R3 route. Deep never means Sol or automatic Terra. - Use Luna max after L1-L6 readiness passes. A failed readiness check returns to the Lead. Terra xhigh requires T1 or T2 evidence from routing.md. - Never create a Sol child. - The current main Lead still performs final review and QA. - Keep one Coder identity for one coherent outcome and its coupled checks, feedback, and in-spec repairs while the session key is unchanged.
From youngchangjo/teamplay, MIT.
More from youngchangjo/teamplay
- 0.610score
teamplay
youngchangjo
Save implementation cost by defaulting specification-locked coding to GPT-5.6 Luna max while the current main Codex agent retains specification, integration…
SkillBFreshness: B★ 22Claude Code +9 - 0.605score
teamplay-critical
youngchangjo
Run Teamplay with threat-, rollback-, and evidence-aware specification for security, privacy, auth, payment, migration, release, or irreversible-risk work.
SkillBFreshness: B★ 22Claude Code +9 - 0.605score
teamplay-fast
youngchangjo
Run Teamplay with child-local Fast when an authorized, spec-ready implementation qualifies for GPT-5.6 Luna max.
SkillBFreshness: B★ 22Claude Code +9
Signals
- Stars
- 22
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Aug 5, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/youngchangjo/teamplay
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from youngchangjo
- 0.610score
teamplay
youngchangjo
Save implementation cost by defaulting specification-locked coding to GPT-5.6 Luna max while the current main Codex agent retains specification, integration…
SkillBFreshness: B★ 22Claude Code +9 - 0.605score
teamplay-critical
youngchangjo
Run Teamplay with threat-, rollback-, and evidence-aware specification for security, privacy, auth, payment, migration, release, or irreversible-risk work.
SkillBFreshness: B★ 22Claude Code +9 - 0.605score
teamplay-fast
youngchangjo
Run Teamplay with child-local Fast when an authorized, spec-ready implementation qualifies for GPT-5.6 Luna max.
SkillBFreshness: B★ 22Claude Code +9
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Cite this page
teamplay-deep skill. Agent Mart. https://agentmart.dev/skills/youngchangjo-teamplay-deep (last updated 2026-10-24)