Creator · JetBrains
Last updated · Aug 24, 2026
starting-a-new-project
Use when the workspace is empty — no code yet — and the user brings a raw idea: the brand-new branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for features in an existing project — use brainstorming instea
Sandbox only
Install targets
Codex install prompt
Install the "starting-a-new-project" agent skill from https://github.com/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/starting-a-new-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 when the workspace is empty — no code yet — and the user brings a raw idea: the brand-new branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for features in an existing project — use brainstorming instead. 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-starting-a-new-project","task":"Install starting-a-new-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.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add JetBrains/thinkrail --skill starting-a-new-project
Maintenance
fresh
Pushed today
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
38
63/100 Quality · 74/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · The skill references external concept skills (writing-specs, asking-user-questions) that are not included in the submission. This may cause runtime failures if those skills are not available in the agent environment.
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
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA 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.
Stars
38 GitHub stars
Repo activity
38 stars, 8 forks
Maintenance
Pushed today
License
Apache-2.0
Install
npx skills add JetBrains/thinkrail --skill starting-a-new-project
Install safety
standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Review before production
- The skill references external concept skills (writing-specs, asking-user-questions) that are not included in the submission. This may cause runtime failures if those skills are not available in the agent environment.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
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+
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.
Suited tasks
- Coding agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect source files
Suited agents
Install decision
- Command
- npx skills add JetBrains/thinkrail --skill starting-a-new-project
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 66/100
- Audit
- 78/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add JetBrains/thinkrail --skill starting-a-new-projectDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- The skill references external concept skills (writing-specs, asking-user-questions) that are not included in the submission. This may cause runtime failures if those skills are not available in the agent environment.
- No OpenAgentSkill engagement data yet
Alternative
Opencode
200.7K Stars
npx skills add anomalyco/opencode
Alternative
Code Review
168.6K Stars
npx skills add mattpocock/skills --skill code-review
Alternative
Grill With Docs
164.7K Stars
npx skills add mattpocock/skills --skill grill-with-docs
Alternative
To Spec
164.7K Stars
npx skills add mattpocock/skills --skill to-spec
Agent safety v2
62/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
- Financial research output is not financial advice; require human review before any live investment decision
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 JSON
/api/agent/resolve?task=Use%20starting-a-new-project%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20starting-a-new-project%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jetbrains-starting-a-new-project/install
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 starting-a-new-project in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20starting-a-new-project%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jetbrains-starting-a-new-project/install
Install command: npx skills add JetBrains/thinkrail --skill starting-a-new-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.
Install handoff
/api/skills/jetbrains-starting-a-new-project/install
LLM text format
/api/skills/jetbrains-starting-a-new-project/install?format=text
Find alternatives
/api/skills/search?q=starting-a-new-project&limit=3
Agent prompt
Use starting-a-new-project for this task. Review https://www.openagentskill.com/api/skills/jetbrains-starting-a-new-project/install, then install with: npx skills add JetBrains/thinkrail --skill starting-a-new-projectRegistry 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.
Manifest
/api/registry/manifest/jetbrains-starting-a-new-project
LLM text
/api/registry/manifest/jetbrains-starting-a-new-project?format=text
Install alias
/api/registry/install/jetbrains-starting-a-new-project
Recommend
/api/registry/recommend?task=Use%20starting-a-new-project%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 78/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Coding agents
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Coding agents
Trust label
Prototype first
Install path
Command ready
Use when
- Coding agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 63/100 quality profile
review first
- Low GitHub adoption signal
- The skill references external concept skills (writing-specs, asking-user-questions) that are not included in the submission. This may cause runtime failures if those skills are not available in the agent environment.
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Coding agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 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.
GitHub adoption
CHECK38 GitHub stars
Stars/forks activity
CHECK38 stars, 8 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSApache-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 external concept skills (writing-specs, asking-user-questions) that are not included in the submission. This may cause runtime failures if those skills are not available in the agent environment.
- Financial research output is not financial advice; require human review before any live investment decision.
- 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.
Workflow fit
Use this skill in these scenarios
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Add it to a complete workflow
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Opencode
The open source coding agent.
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Grill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
To Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
Overview
--- name: starting-a-new-project description: "Use when the workspace is empty — no code yet — and the user brings a raw idea: the brand-new branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for features in an existing project — use brainstorming instead." ---
# Starting a new project
The workspace is empty: no code, no decisions. Turn the user's idea into one clear, buildable document — `goal-and-requirements.md` — then hand off to `brainstorming` for the features that follow.
**Hold the writing-specs bar.** Read that concept skill before saving anything — it carries the short / honest / on-rails rules every section you save must meet.
## Method
1. **Build on what's already said.** Never re-ask what the request already told you. 2. **Infer, then confirm** — propose a concrete draft and let the user correct it; a suggestion beats an open question. Compose `ask_user_question` rounds per the **asking-user-questions** concept skill (read it before the first round — it carries the option, confirmation, and degradation norms). 3. **MVP first.** The right v1 is smaller than the user expects. Every v1 capability must justify itself. 4. **Save incrementally.** Create the file as soon as the first section is settled, then add each confirmed section in template order. Don't batch; don't invent unconfirmed content. 5. A skipped question is not a blocker — proceed on the current model and note real gaps inline.
## Working model (infer from the request; never ask these directly)
``` audience: personal | public | both domain: what space this is in tech: stack mentioned, or null scope: small | large depth: light | standard | full creator_is_user: does the maker use it? ```
`depth` scales the document: `light` = a one-liner idea → a few lines; `full` = named competitors / multiple user types → a full PRD. It can only grow during the conversation, never shrink.
## Fast path — pre-filled brief
If the request already reads like a spec (several headings or a multi-section brief), parse it, treat those sections as **confirmed**, save them immediately, and only pursue what's genuinely missing and required by `depth`. Don't ask the user to confirm what they already wrote. The one always-offered extra is alternatives research (below).
## Flow
1. **Orient** — one line: "Let's nail the goal and scope, then I'll save it as `goal-and-requirements.md`." 2. **Overview** — infer it (`depth`-sized: a sentence → a paragraph naming what it replaces) and confirm. 3. **Problem** — one tailored question referencing the domain (never generic); turn the answer into a statement (who / what they do today / the specific breakdown) and confirm. Skip if the Overview already implies it. 4. **Route** from the model — don't ask "who's this for" unless genuinely ambiguous: personal / first-person pain / `depth=light` → **Personal spec**; public / named users / `depth=full` → **PRD**. 5. **Elicit the branch's sections** (below), inferring and confirming each, saving as you go. 6. **Research alternatives** (always offered, never forced): `web_search` + `fetch_content` for the closest open-source projects / products, then offer to add an **Alternatives Considered** section (name, one-line gap, URL). On a pre-filled brief, ask permission first. 7. **Review** the full draft in plain markdown and confirm, then finalize.
### Personal spec (sections)
`# Title` + one-line tagline · **Overview** · **Problem** · **V1 Features** (only capabilities the tool is useless without) · **Tech Notes** (stack, or TBD).
### PRD (sections)
`# Title` + tagline · **Overview** · **Problem Statement** · **Target Users** (roles, not demographics) · **Jobs to Be Done** ("When [situation], I want [motivation], so I can [outcome]") · **Key User Story** (one concrete scenario) · **Goals** (verb-first, measurable) · **Non-Goals** · **Success Metrics** / **Done Conditions** · **MVP Scope** (`In v1` — each item justified against a Goal/Success condition; `Out of v1`) · **Non-Functional Requirements** (only if they exist) · **Technology** (Aspect | Choice | Rationale).
Skip any section the model already answers or that `depth` doesn't warrant (`light` → skip Goals/NFRs, binary Done Conditions instead of metrics). Reject vague goals inline: "'Better UX' isn't a goal — 'first result in under 30s' is."
## Saving
- `spec_create` once, `path: "goal-and-requirements.md"`, a slug `id`, `type: "goal-and-requirements"`, `title`, `status: "draft"`; replace the scaffold with the chosen template + the sections settled so far. - `edit` to add each confirmed section in template order. - `spec_update` `status: draft → done` once finalized.
## Next
State plainly that the spec is saved. Suggest the natural next step — sketch `architecture.md`, then use `brainstorming` per feature. There is no board/ticket hand-off — say it and stop: **this workflow ends here**; feature work from now on routes through choosing-a-workflow → `brainstorming`.
Technical details
- Version
- 1.0.0
- License
- Apache-2.0
- Last updated
- Aug 24, 2026
- Published
- Aug 24, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 80/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- 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
Scenario-led draft for starting-a-new-project, ready for a manual X post.
starting-a-new-project: Use when the workspace is empty — no code yet — and the user brings a raw idea: the brand-new... 38 stars https://www.openagentskill.com/skills/jetbrains-starting-a-new-project?ref=x
Optional reply with install command
Listing + install path for starting-a-new-project: https://www.openagentskill.com/skills/jetbrains-starting-a-new-project?ref=x Install: npx skills add JetBrains/thinkrail --skill starting-a-new-project
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- JetBrains
- Source
- JetBrains/thinkrail
- 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 skillOwner 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.
[](https://www.openagentskill.com/skills/jetbrains-starting-a-new-project)
[](https://www.openagentskill.com/skills/jetbrains-starting-a-new-project)
[](https://www.openagentskill.com/skills/jetbrains-starting-a-new-project/audit)
[](https://www.openagentskill.com/skills/jetbrains-starting-a-new-project)Author
JetBrains
@jetbrains
Tags
Platform fit
Health signals
- GitHub stars
- 38
- Quality score
- 35/100
- 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
- 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 completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskno major dependency risk hints in public metadataPASS
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