@JetBrains

Kreator · JetBrains

Pembaruan terakhir · 24 Agu 2026

brainstorming

Tinjau · 69Diindeks di Registry

Use this BEFORE any creative or feature work: building a new feature, adding functionality, changing behavior, or making a nontrivial design decision. Turns the user's request into a validated design — recorded as a spec-graph task-spec — before any implementation. Do not skip th

Trust Score OpenAgentSkill
69/100

Hanya sandbox

Kualitas62/100
Audit79/100
Star38
Verified installs0

Target pemasangan

Prompt pemasangan Codex

Install the "brainstorming" agent skill from https://github.com/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/brainstorming. 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 this BEFORE any creative or feature work: building a new feature, adding functionality, changing behavior, or making a nontrivial design decision. Turns the user's request into a validated design — recorded as a spec-graph task-spec — before any implementation. Do not skip this because a change looks small. 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-brainstorming","task":"Install brainstorming","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.

Profil aset

Riset dan pekerjaan pengetahuan

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

Lihat kategori

Skenario

Agent riset

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

Kecocokan Agent

Claude Code + CLI + Codex

Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.

Pasang

Siap

npx skills add JetBrains/thinkrail --skill brainstorming

Pemeliharaan

Terkini

Diperbarui hari ini

Risiko

Perlu ditinjau

Financial research output is not financial advice; require human review before any live investment decision

Kualitas GitHub

38

62/100 Kualitas · 77/100 Kepercayaan

Tag cakupan

RisetAgent risetagent-skill

Catatan ulasan

Financial research output is not financial advice; require human review before any live investment decision · Low GitHub adoption signal

Kartu adopsi Agent

Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat

Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.

Kualitas

Menjanjikan
62

Useful candidate, but compare it with alternatives before adopting.

Kepercayaan

Hanya sandbox
69

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

Audit

Perlu ditinjau
79

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Trust Score OpenAgentSkill v5

Tinjauan manusia sebelum pemasangan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

CodexClaude CodeCursorOpenAgentSkill CLI

Star

38 star GitHub

Aktivitas repositori

38 star dan 8 fork

Pemeliharaan

Diperbarui hari ini

Lisensi

Apache-2.0

Pasang

npx skills add JetBrains/thinkrail --skill brainstorming

Keamanan pemasangan

Jalur pemasangan paket atau runtime standar

Cakupan izin

Akses sistem file atau dokumen

Hasil Agent

Belum ada data hasil Agent

Dokumentasi

Usable metadata, review docs

Ringkasan risiko

Tinjau sebelum produksi

  • 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

Kesiapan pemasangan

Jalur pemasangan tersedia

  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Lisensi dinyatakan
  • Belum ada bukti hasil Agent-Proven

Metadata yang dapat dibaca Agent

Data keputusan yang dapat dibaca mesin untuk skill ini.

Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.

View technical data+

Tugas yang sesuai

  • Alur kerja Agent riset
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Sumber pencarian

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLICLI

Keputusan pemasangan

Perintah
npx skills add JetBrains/thinkrail --skill brainstorming
Kebijakan
Tinjau
Tinjauan manusia
Ya

Kepercayaan dan risiko

Kepercayaan
69/100
Audit
79/100
Tingkat risiko
Perlu ditinjau

Lingkar hasil

Endpoint
/api/agent/outcome
ID event
resolve
Hasil
5

Perintah pemasangan

npx skills add JetBrains/thinkrail --skill brainstorming

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • production agents without a repository review
  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet
  • Financial research output is not financial advice; require human review before any live investment decision

Keamanan Agent v2

63/100 · Tinjau sebelum memasang

Ditinjau dengan catatan izinTinjau

Kandidat yang dapat digunakan, tetapi Agent harus menampilkan catatan izin dan audit sebelum memasang.

Memerlukan persetujuan manusia sebelum memasang ke workspace nyata.

Selesaikan via API

Sedang

Akses jaringan

Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.

Sedang

Akses sistem file

Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.

  • Financial research output is not financial advice; require human review before any live investment decision

Rencana resolusi Agent

Biarkan Agent memverifikasi kecocokan sebelum memasang.

API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.

Buka rencana teks

Agent harus memeriksa

  • 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.

Salin prompt

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

Serah-terima Agent

Berikan jalur pemasangan kepada Agent, bukan direktori lain.

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

Buka API pemasangan

Prompt Agent

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

Metadata Registry

Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka Manifest

Kecocokan Agent

61/100

Agent riset

Platform

Claude Code

Laporan audit

Perlu ditinjau · 79/100

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Fallback candidate for Research agents

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

61
Kesiapan
Prototipe
Tahap

Peran di stack

Kandidat cadangan

Kecocokan utama

Agent riset

Label kepercayaan

Buat prototipe dulu

Jalur pemasangan

Perintah siap

Gunakan saat

  • Alur kerja Agent riset
  • Tim Claude Code
  • builders willing to evaluate younger projects

Bukti

  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 62/100

tinjau dulu

  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet

Jalur implementasi

  1. 1Pasang di Agent sandbox dan jalankan satu tugas Agent riset dari awal hingga akhir.
  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.

Profil kepercayaan

Hanya sandbox

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

69
Trust Score OpenAgentSkill

Adopsi GitHub

Periksa

38 star GitHub

Aktivitas star/fork

Periksa

38 star dan 8 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

Diperbarui hari ini

Kejelasan lisensi

Lulus

Apache-2.0

Sinyal positif

  • Tinjauan AI disetujui
  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Repositori yang baru dipelihara
  • Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
  • Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama

Tinjau sebelum memasang

  • 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
  • Belum ada laporan hasil Agent nyata
  • Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan

Tindakan yang disarankan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

Profil kualitas

Menjanjikan kandidat untuk alur kerja Agent

Useful candidate, but compare it with alternatives before adopting.

62
Star GitHub
38
Keterkinian
Hari ini
Siap dipasang
Ya
Lisensi
Apache-2.0
Tinjau sebelum memasang: Low GitHub adoption signal

Kecocokan alur kerja

Gunakan skill ini pada skenario berikut

Kecocokan alur kerja

Tambahkan ke alur kerja lengkap

Daftar alternatif

Bandingkan sebelum memasang

Similar skills that may fit this task.

Bandingkan semua

Ringkasan

--- name: brainstorming description: "Use this BEFORE any creative or feature work: building a new feature, adding functionality, changing behavior, or making a nontrivial design decision. Turns the user's request into a validated design — recorded as a spec-graph task-spec — before any implementation. Do not skip this because a change looks small." ---

# Brainstorming

## Brainstorm before you build

- Before starting any creative or feature work — a new feature, added functionality, a behavioral change, a nontrivial design decision — stop and run this workflow before writing implementation code. - The aim: turn the request into a validated design, recorded as a spec-graph `task-spec`, that the user has explicitly approved — not a guess you implement and hope lands. - Never implement during brainstorming. If you catch yourself opening a source file to make a change before the design is approved, stop.

## Anti-pattern: "this is too small to need this"

Every request goes through this, however small it looks. A one-line config change and a new subsystem both benefit from a few minutes of "what does the user actually want and why" — that is where wrong assumptions get caught cheaply. Scale the *depth* to the task; never skip the workflow entirely.

## The workflow

1. **Orient.** Use the spec-graph skill's tools first — `spec_grep`/`spec_get`/`spec_graph` — to find what the project already says about the area; read code second, to confirm details. 2. **Scope check.** If the request bundles multiple independent features or subsystems, say so and brainstorm them one at a time (or in parallel sub-sessions, the user's call) — don't blend unrelated decisions into one task-spec. 3. **Open a task-spec.** As soon as you understand roughly what's being asked, `spec_create` a `task-spec` at **`.thinkrail/context/TASK-<slug>.md`** (id, title, status: draft, parent: the nearest relevant module) to hold the design as it develops. `.thinkrail/context/` is the workspace's gitignored scratch dir (host-seeded, zero git footprint) yet stays scannable by the spec tools — the home for every temp doc, never committed. This file is the one artifact — update it live as decisions land; don't also keep a separate scratch doc. This works even in a project with no existing spec graph: a `task-spec` only needs frontmatter `id` and `type` to be a valid spec, no pre-existing graph required — don't skip this step just because nothing else in the project is specced yet. 4. **Clarify.** Ask what you need via `ask_user_question`, composing rounds per the **asking-user-questions** concept skill — read it before the first round. Resolve a full round, update the task-spec with what you learned, and only open a new round if the answers raised a genuinely new question. Per that concept's degradation norms, skipped questions or a host with no UI are not blockers: record your best-guess assumptions in the task-spec, explicitly marked unconfirmed, and continue. 5. **Propose approaches.** Once the ask is clear, write 2-3 approaches into the task-spec with trade-offs and a recommendation. When approaches are easiest to compare side by side, ask via a single-select `ask_user_question` with each approach as an option (label = approach name, description = its trade-off) instead of prose alone. 6. **Present the design.** Write it into the task-spec in sections scaled to their complexity; confirm with the user as each section lands, not only at the end. 7. **Self-review.** Before asking for final sign-off, reread the task-spec for: placeholders/TBDs, sections that contradict each other, scope that's actually multiple task-specs, and ambiguous requirements — fix what you find, don't just flag it. 8. **Promote.** When the design settles a boundary, contract, or decision that belongs in a durable spec, fold it into the relevant module's `SPEC.md` now — `spec_create` for a new module, `spec_update` for its frontmatter (draft → active as it firms up), `edit` for prose. Run `spec_validate` after structural changes. 9. **Final review, then build.** Ask the user to review the (now-promoted) design once more. Once approved, implement directly against it — there is no separate plan-writing step here. Before handing off, self-review the implementation diff the way step 7 reviewed the spec: no silent lint/type suppressions (a gate error is a design signal — question the flagged state or dependency before guarding it; any genuinely-needed suppression gets explicit user sign-off first), no nontrivial derivation duplicated across files (centralize it), no rationale left as code comments (near-zero comments: decisions and invariants go to the owning spec per the writing-specs bar; only lint directives and rare one-line hazard notes survive), and when the change replaced a pattern, sweep the repo for remnants of the old one. Keep the task-spec and the durable specs honest as the code lands, and retire the task-spec once **the work itself** is done, not merely once the design was promoted.

## What a good task-spec looks like

- Scoped to one piece of work — if it's accreting unrelated decisions, split it. - States the request, the decision(s) made and why, the approaches considered and why they were or weren't picked, and anything the user explicitly deferred or declined to answer. - Gets promoted, not copied: once a decision belongs in a module's `SPEC.md`, move it there and reference it from the task-spec rather than keeping two copies that can drift.

Detail teknis

Versi
1.0.0
Lisensi
Apache-2.0
Pembaruan terakhir
24 Agu 2026
Diterbitkan
24 Agu 2026

Ringkasan keputusan

Kandidat cadangan

61
Siap
Prototipe
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

79
Perlu ditinjau
Keamanan
86/100
Pemeliharaan
100/100
Pasang
92/100
Buka audit lengkapLihat laporan evaluasi

Bukti tervalidasi Agent

Bukti tervalidasi Agent

Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.

0
Terbukti
Needs first agent runPasang otomatis: tinjau duluTerakhir: Tidak diketahui
Tingkat sukses
Kegagalan terbaru
Hasil
0
Kualitas output
Gagal
0
Tidak relevan
0
Pemasangan
0
Diblokir risiko
0
Perlu penyiapan
0
Produksi
0

Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.

Pasang

Tambahkan ke alur Agent

Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.

Siklus pertumbuhan

Kit berbagi

X

Draf berbasis skenario untuk brainstorming, siap untuk posting manual di X.

Catatan kurator
A practical pick for design or creative work:

brainstorming: Use this BEFORE any creative or feature work: building a new feature, adding functionality, changing behavior, or making a...

38 stars

https://www.openagentskill.com/skills/jetbrains-brainstorming?ref=x
Buka draf X
Balasan opsional dengan perintah pemasangan
Listing + install path for brainstorming:
https://www.openagentskill.com/skills/jetbrains-brainstorming?ref=x

Install: npx skills add JetBrains/thinkrail --skill brainstorming
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator
JetBrains
Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan JetBrains, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

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

Penulis

J

JetBrains

@jetbrains

Kecocokan platform

Sinyal kesehatan

Star GitHub
38
Skor kualitas
34/100
Push GitHub terakhir
24 Agu 2026
Petunjuk framework
Tidak diketahui
Tampilan OpenAgentSkill
0
Salinan pemasangan
0
Klik keluar
0

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.

Kepercayaan & keamanan

Hanya sandbox

69
  • Adopsi GitHub38 star GitHubPeriksa
  • Aktivitas star/fork38 star dan 8 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
  • Pemeliharaan terbaruDiperbarui hari iniLulus
  • Kejelasan lisensiApache-2.0Lulus
  • Kelengkapan README/SKILL.mdMetadata publik memerlukan konteks README/SKILL.md yang lebih kuatInfo
  • Risiko dependensi/runtimeTidak ada petunjuk risiko dependensi besar dalam metadata publikLulus