Chalk Labs
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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/lucavb-scrum-next
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
Use cases: productivity
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/scrum-next
What's inside
- Skill name
scrum-next- Description
- Scrum board next-work triage. Use when asked what to work on next, what is next on the board, or to choose an actionable Jira task, updates on the user's open PRs, or a PR review.
- License
- MIT
- Instructions
- 37 lines in SKILL.md · view on GitHub
Files (2)
- README.md
- SKILL.md
SKILL.md (first lines)
# Scrum next-work triage Recommend work the user can start now. Treat the board as a queue, not as proof that an item is actionable. ## Triage 1. Identify the current user and active sprint. 2. Record any work the user says is already running elsewhere as **occupied**. Keep it out of recommendations until the user says it is free. 3. Build candidates in this order: 1. assigned implementation or refinement work that is ready to start; 2. the user's own open PRs that need a response (new review feedback, requested changes, failing checks, merge conflicts, or unresolved review threads awaiting the author); 3. unassigned, ready implementation or refinement work in the active sprint; 4. open PRs authored by someone else that still need the user's review. 4. Exclude QA work, tickets in QA review, tickets the user implemented, reviews the user has already approved on the current head, and work already in progress elsewhere. Do not exclude the user's own PRs when they need author action. ## Evidence For every candidate, verify the evidence before recommending it: - **Jira:** active-sprint membership, status, assignee, rank, dependencies, and ticket readiness. - **GitHub (review):** PR exists and is open; author is not the user; user has not approved the current head; checks, mergeability, and unresolved review threads are known. - **GitHub (own PR):** PR is open and authored by the user; there is new activity since the user's last response (review comments, review decisions, check runs, or mergeability) that requires author action. - **Scope:** the work is implementation, refinement, or code review—not QA. Use narrow queries first. Fetch full ticket or PR details only for the leading candidates. ## Choice Recommend one item, with its link and the immediate first action. State why it is actionable using the evidence above. If no active-sprint item qualifies, say so plainly. Offer the highest-ranked unassigned backlog candidate only after marking it as outside the active sprint, or ask whether the user wants to pull backlog work. ## Completion Finish only when the recommendation is actionable for this user now, or when the absence of such work is explicit.
From lucavb/skills, MIT.
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Shared adversarial review engine: blind parallel critics (including alternatives), tribunal adjudication, and adversarial re-validation.
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Pre-scrum refinement of Jira stories for engineering readiness.
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gh-fetch
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GitHub fetch — gh CLI for GitHub URLs; checkout when multiple file accesses are foreseen.
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Closing ritual — surface doubts, blind spots, and unverified claims before work is accepted.
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conversation-handoff
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Summarize the current conversation into a copy-pasteable handoff message for a fresh chat.
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ticket-to-pr-pipeline
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writing-commit-messages
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Required before every git commit.
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angular
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Angular zoneless conventions — signals, toSignal, shells, encapsulated styles.
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discover-before-planning
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Do discovery during planning — explore the codebase and close open questions before presenting a plan.
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Condense the immediately preceding assistant answer into a direct TL;DR.
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Signals
- Stars
- 3
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 13, 2026 (19 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/lucavb/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from lucavb
- 0.604score
review-tribunal
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Review tribunal for pull requests or local Git diffs: intake, review-core blind critics (including alternatives), tribunal, adversarial validation, then local…
SkillAFreshness: A★ 3Claude Code +9 - 0.601score
review-core
lucavb
Shared adversarial review engine: blind parallel critics (including alternatives), tribunal adjudication, and adversarial re-validation.
SkillAFreshness: A★ 3Claude Code +9 - 0.569score
atlassian-jira-adf-formatting
lucavb
Round-trip Jira story descriptions via Atlassian MCP ADF — fetch full doc, edit in files, validate, file-backed editJiraIssue.
SkillBFreshness: B★ 3Claude Code +9 - 0.569score
refining-jira-tickets
lucavb
Pre-scrum refinement of Jira stories for engineering readiness.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
gh-fetch
lucavb
GitHub fetch — gh CLI for GitHub URLs; checkout when multiple file accesses are foreseen.
SkillBFreshness: B★ 3Claude Code +9 - 0.564score
closing-ritual
lucavb
Closing ritual — surface doubts, blind spots, and unverified claims before work is accepted.
SkillBFreshness: B★ 3Claude 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.
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Cite this page
scrum-next skill. Agent Mart. https://agentmart.dev/skills/lucavb-scrum-next (last updated 2026-10-24)