@JetBrains

Creator · JetBrains

Last updated · Aug 24, 2026

setting-up-a-project

REVIEW · 64Registry indexed

Use whenever asked to set up, onboard, initialize, or spec a project — the front door when the workspace has no spec graph yet (brand-new or an existing codebase); also seeded by the app's Set-up-project card (/skill:setting-up-a-project). Not for feature work in an already-specc

OpenAgentSkill Trust Score
64/100

Sandbox only

Quality62/100
Audit77/100
Stars38
Verified installs0

Install targets

Codex install prompt

Install the "setting-up-a-project" agent skill from https://github.com/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/setting-up-a-project. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Use whenever asked to set up, onboard, initialize, or spec a project — the front door when the workspace has no spec graph yet (brand-new or an existing codebase); also seeded by the app's Set-up-project card (/skill:setting-up-a-project). Not for feature work in an already-specced project — use the brainstorming skill. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"jetbrains-setting-up-a-project","task":"Install setting-up-a-project","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add JetBrains/thinkrail --skill setting-up-a-project

Maintenance

fresh

Pushed today

Risk

Needs review

The skill references spec tools (spec_grep, spec_graph) and other skills (starting-a-new-project, importing-a-codebase, brainstorming) without providing details on how to invoke them or their availability. This may cause confusion if the environment lacks these tools.

GitHub quality

38

62/100 Quality · 72/100 Trust

Coverage tags

ResearchResearch agentsagent-skill

Review notes

The skill references spec tools (spec_grep, spec_graph) and other skills (starting-a-new-project, importing-a-codebase, brainstorming) without providing details on how to invoke them or their availability. This may cause confusion if the environment lacks these tools. · The detection step is underspecified: it does not explain how to identify a spec graph or distinguish 'real source code' from scaffolding beyond examples.

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
62

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
64

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
77

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

38 GitHub stars

Repo activity

38 stars, 8 forks

Maintenance

Pushed today

License

Apache-2.0

Install

npx skills add JetBrains/thinkrail --skill setting-up-a-project

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • The skill references spec tools (spec_grep, spec_graph) and other skills (starting-a-new-project, importing-a-codebase, brainstorming) without providing details on how to invoke them or their availability. This may cause confusion if the environment lacks these tools.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 38 GitHub stars

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

View technical data+

Suited tasks

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Search sources

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add JetBrains/thinkrail --skill setting-up-a-project
Policy
review
Human review
yes

Trust and risk

Trust
64/100
Audit
77/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add JetBrains/thinkrail --skill setting-up-a-project

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • The skill references spec tools (spec_grep, spec_graph) and other skills (starting-a-new-project, importing-a-codebase, brainstorming) without providing details on how to invoke them or their availability. This may cause confusion if the environment lacks these tools.
  • No OpenAgentSkill engagement data yet

Agent safety v2

61/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • The skill references spec tools (spec_grep, spec_graph) and other skills (starting-a-new-project, importing-a-codebase, brainstorming) without providing details on how to invoke them or their availability. This may cause confusion if the environment lacks these tools.

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use setting-up-a-project in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20setting-up-a-project%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jetbrains-setting-up-a-project/install
Install command: npx skills add JetBrains/thinkrail --skill setting-up-a-project
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use setting-up-a-project for this task. Review https://www.openagentskill.com/api/skills/jetbrains-setting-up-a-project/install, then install with: npx skills add JetBrains/thinkrail --skill setting-up-a-project

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

61/100

Research agents

Platforms

Claude Code

Audit report

Needs review · 77/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Research agents

Prototype with this skill first; keep a fallback candidate ready.

61
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Research agents

Trust label

Prototype first

Install path

Command ready

Use when

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 62/100 quality profile

review first

  • Low GitHub adoption signal
  • The skill references spec tools (spec_grep, spec_graph) and other skills (starting-a-new-project, importing-a-codebase, brainstorming) without providing details on how to invoke them or their availability. This may cause confusion if the environment lacks these tools.
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Research agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

64
OpenAgentSkill Trust Score

GitHub adoption

CHECK

38 GitHub stars

Stars/forks activity

CHECK

38 stars, 8 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

PASS

Apache-2.0

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • The skill references spec tools (spec_grep, spec_graph) and other skills (starting-a-new-project, importing-a-codebase, brainstorming) without providing details on how to invoke them or their availability. This may cause confusion if the environment lacks these tools.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 38 GitHub stars
  • Stars/forks activity: 38 stars, 8 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

62
GitHub stars
38
Freshness
Today
Install ready
Yes
License
Apache-2.0
Review before install: Low GitHub adoption signal · The skill references spec tools (spec_grep, spec_graph) and other skills (starting-a-new-project, importing-a-codebase, brainstorming) without providing details on how to invoke them or their availability. This may cause confusion if the environment lacks these tools.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: setting-up-a-project description: "Use whenever asked to set up, onboard, initialize, or spec a project — the front door when the workspace has no spec graph yet (brand-new or an existing codebase); also seeded by the app's Set-up-project card (/skill:setting-up-a-project). Not for feature work in an already-specced project — use the brainstorming skill." ---

# Setting up a project — dispatcher

The single entry point for turning a project into a spec graph. Figure out which situation you're in, then follow the matching skill — don't improvise the flow yourself.

## 1. Detect

Look at the workspace and use the spec tools (`spec_grep` / `spec_graph`):

- Is there already a spec graph (a `goal-and-requirements.md` or any `SPEC.md`)? - Is there real source code, or is the repo empty / near-empty (just a README or scaffolding)?

## 2. Route

| Situation | Follow | |---|---| | **Already has specs** | Don't redo it. Briefly offer to review/extend the graph (fill obvious gaps — a missing `architecture.md`, un-specced modules) or point at the `brainstorming` skill for feature work. Declined → stop. Accepted → **Graph extension** below. | | **No specs · empty / near-empty repo** | The **`starting-a-new-project`** skill — interview the user to turn the idea into `goal-and-requirements.md`. | | **No specs · real source code** | The **`importing-a-codebase`** skill — analyze the code + agent files and draft the first spec graph, asking only for intent the code can't reveal. |

Read and follow that skill's steps.

## Graph extension (no dedicated skill)

No skill covers extending an existing graph. If the offer is accepted: say so in one line, then align and adapt to the user's request with your own judgment, holding the **writing-specs** bar.

## Handoff

Ends by naming exactly one of: **starting-a-new-project**, **importing-a-codebase**, or — when specs already exist — the review/extend offer above (declined → stop; accepted → graph extension: a one-line note that no skill covers it, then judgment against the **writing-specs** bar).

Technical details

Version
1.0.0
License
Apache-2.0
Last updated
Aug 24, 2026
Published
Aug 24, 2026

Decision snapshot

Fallback candidate

61
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

77
Needs review
Security
80/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for setting-up-a-project, ready for a manual X post.

Curator note
A practical pick for source-backed research:

setting-up-a-project: Use whenever asked to set up, onboard, initialize, or spec a project — the front door when the workspace has no spec graph...

38 stars

https://www.openagentskill.com/skills/jetbrains-setting-up-a-project?ref=x
Open X draft
Optional reply with install command
Listing + install path for setting-up-a-project:
https://www.openagentskill.com/skills/jetbrains-setting-up-a-project?ref=x

Install: npx skills add JetBrains/thinkrail --skill setting-up-a-project

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
JetBrains
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to JetBrains but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/jetbrains-setting-up-a-project?metric=listed&label=Listed)](https://www.openagentskill.com/skills/jetbrains-setting-up-a-project)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/jetbrains-setting-up-a-project?metric=trust&label=Trust)](https://www.openagentskill.com/skills/jetbrains-setting-up-a-project)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/jetbrains-setting-up-a-project?metric=audit&label=Audit)](https://www.openagentskill.com/skills/jetbrains-setting-up-a-project/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/jetbrains-setting-up-a-project?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/jetbrains-setting-up-a-project)

Author

J

JetBrains

@jetbrains

Platform fit

Health signals

GitHub stars
38
Quality score
34/100
Last GitHub push
Aug 24, 2026
Framework hints
Unknown
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

64
  • GitHub adoption38 GitHub starsCHECK
  • Stars/forks activity38 stars, 8 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS