from-stage-to-prs
Drive a single stage from a stages document all the way to a stack of reviewed PRs, autonomously.
Skill by mohasarc
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/mohasarc-from-stage-to-prs
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: documents, design, agent-building
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. Checked Oct 25, 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/from-stage-to-prs
What's inside
- Skill name
from-stage-to-prs- Description
- Drive a single stage from a stages document all the way to a stack of reviewed PRs, autonomously. Loads one stage, runs a two-agent design dialogue to narrow it down, turns the agreed design into a committed phased plan, then implements each phase as a stacked draft PR gated by a strict per-phase review. Use when you want to hand off a whole stage and walk away. Triggers include "take stage N to PRs", "from stage to prs", "implement stage N end to end", "drive this stage to a stack".
- License
- unknown
- Instructions
- 59 lines in SKILL.md · view on GitHub
Files (5)
- SKILL.md
- answerer.md
- implementer.md
- planning-driver.md
- reviewer.md
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
More from mohasarc/mo-skills
- 0.584score
describe-work
mohasarc
Explain completed or proposed software work so a human can understand its intent, consequential changes, design choices, and supporting evidence.
SkillAFreshness: A★ 1Claude Code +9 - 0.531score
propagate-feedback-fixes
mohasarc
Restack downstream stacked PRs and apply the current PR's reviewer feedback in their code.
SkillBFreshness: B★ 1Claude Code +9 - 0.497score
linear-read
mohasarc
Read from Linear (GraphQL queries and attachment downloads).
SkillCFreshness: C★ 1Claude Code +9 - 0.494score
loom-watch
mohasarc
Watch a Loom video — pull its transcript and screen frames so the agent can understand what was said and shown.
SkillCFreshness: C★ 1Claude Code +9 - 0.492score
document-feature
mohasarc
Investigate feature implementations and generate comprehensive top-down Markdown documentation with Mermaid diagrams.
SkillCFreshness: C★ 1Claude Code +9 - 0.492score
trace-code-flow
mohasarc
Produce a compact, syntax-highlighted pseudo-code gist that explains how a specific code path, class, module, feature, or subsystem works.
SkillCFreshness: C★ 1Claude Code +9 - 0.492score
drill-down
mohasarc
Interview the user one question at a time, drilling down into the technical details needed to implement a chunk of work.
SkillCFreshness: C★ 1Claude Code +9 - 0.492score
to-functional-spec
mohasarc
Produce a functional spec — a document that defines what a system does and how it behaves from the user's perspective, with no source code, types, or…
SkillCFreshness: C★ 1Claude Code +9 - 0.492score
phased-implementation-plan
mohasarc
Break down implementation plans into detailed, self-contained phased plans where each phase is a single focused commit.
SkillCFreshness: C★ 1Claude Code +9 - 0.492score
stack-prs
mohasarc
Slice a phased or staged plan into a stack of PRs so the human can review and merge them in parallel as later PRs land.
SkillCFreshness: C★ 1Claude Code +9 - 0.492score
auto-implement-plan
mohasarc
Drive a multi-phase plan to completion autonomously by spawning fresh-context subagents — one per phase — that land each phase as a stacked PR.
SkillCFreshness: C★ 1Claude Code +9 - 0.492score
architecture-review
mohasarc
Senior-engineer code review focused on architecture — loose coupling, cohesion, separation of concerns, abstraction, and reuse.
SkillCFreshness: C★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 27, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- Repository
- github.com/mohasarc/mo-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from mohasarc
- 0.584score
describe-work
mohasarc
Explain completed or proposed software work so a human can understand its intent, consequential changes, design choices, and supporting evidence.
SkillAFreshness: A★ 1Claude Code +9 - 0.531score
propagate-feedback-fixes
mohasarc
Restack downstream stacked PRs and apply the current PR's reviewer feedback in their code.
SkillBFreshness: B★ 1Claude Code +9 - 0.497score
linear-read
mohasarc
Read from Linear (GraphQL queries and attachment downloads).
SkillCFreshness: C★ 1Claude Code +9 - 0.494score
loom-watch
mohasarc
Watch a Loom video — pull its transcript and screen frames so the agent can understand what was said and shown.
SkillCFreshness: C★ 1Claude Code +9 - 0.492score
trace-code-flow
mohasarc
Produce a compact, syntax-highlighted pseudo-code gist that explains how a specific code path, class, module, feature, or subsystem works.
SkillCFreshness: C★ 1Claude Code +9 - 0.492score
document-feature
mohasarc
Investigate feature implementations and generate comprehensive top-down Markdown documentation with Mermaid diagrams.
SkillCFreshness: C★ 1Claude Code +9
Done for you
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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
from-stage-to-prs skill. Agent Mart. https://agentmart.dev/skills/mohasarc-from-stage-to-prs (last updated 2026-10-24)