teamplay-fast
Run Teamplay with child-local Fast when an authorized, spec-ready implementation qualifies for GPT-5.6 Luna max.
Skill by youngchangjo
Chalk Labs
Need help deploying teamplay-fast?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
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-fast
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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: sales
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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-fast
What's inside
- Skill name
teamplay-fast- Description
- Run Teamplay with child-local Fast when an authorized, spec-ready implementation qualifies for GPT-5.6 Luna max. Use when the user invokes "$teamplay-fast" or requests accelerated Luna children without changing the Lead.
- License
- MIT
- Instructions
- 20 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Teamplay Fast Read and apply `../teamplay/SKILL.md` with: ```yaml requested_preset: fast ``` - Route by the Luna-first R0-R3 policy. - Use `teamplay-coder-fast` with Luna max, `service_tier = "fast"`, and `features.fast_mode = true`. - Never select Sol. A valid Terra xhigh exception uses the Standard exception role because Fast is Luna-only. - Keep the Lead's model, reasoning, service tier, review, and QA unchanged. - Price and credit values are volatile; record a current official source when economics materially affect the route. - Preserve the same session key through the outcome, coupled checks, feedback, and bounded repair; use the capsule-free continuation packet.
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 - 0.600score
teamplay-deep
youngchangjo
Run cost-first Teamplay with stronger specification, invariants, and evidence while keeping Luna max as the default Coder.
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 - 0.600score
teamplay-deep
youngchangjo
Run cost-first Teamplay with stronger specification, invariants, and evidence while keeping Luna max as the default Coder.
SkillBFreshness: B★ 22Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get teamplay-fast running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
teamplay-fast skill. Agent Mart. https://agentmart.dev/skills/youngchangjo-teamplay-fast (last updated 2026-10-24)