Chalk Labs
Need help deploying wishket-onboard?
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/epicsagas-wishket-onboard
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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
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/wishket-onboard
What's inside
- Skill name
wishket-onboard- Description
- Onboarding for Wishket plugin. Verifies binary installation, sets up tech profile, executes baseline scan, and provides action guides. 위시켓 플러그인 온보딩 (바이너리 설치 확인 + 프로필 생성 + 베이스라인 스캔 + 다음 행동 요령). "위시켓 시작할게", "위시켓 세팅해줘", "온보딩" 등에 사용.
- License
- Apache-2.0
- Instructions
- 42 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (1)
- SKILL.md
SKILL.md (first lines)
Wishket plugin onboarding. Sets up a fresh environment so that wishket-radar runs smoothly, guiding the user from profile setup to actionable workflows in a single flow.
1. **Binary and Environment Check / Installation** (Strict order; do not skip one-liner install even if `cargo` is present):
- Check if the MCP server (`wishket-mcp`) is executable (`list_filters` call or `which wishket-mcp`).
- If missing or startup fails, run the **one-liner installer first**:
- macOS / Linux: `curl --proto '=https' --tlsv1.2 -LsSf https://github.com/epicsagas/wishket-radar/releases/latest/download/install.sh | sh`
- Windows: `powershell -c "irm https://github.com/epicsagas/wishket-radar/releases/latest/download/install.ps1 | iex"`
- If `install.sh` / `install.ps1` exists in the plugin root, execute that script directly.
- Only if the installer fails, the current directory is a git clone (`server/Cargo.toml` and `.git` exist), and `cargo` is on PATH, run `cargo build --release --manifest-path server/Cargo.toml`. Never run cargo build inside plugin cache directories.
- Verify that the MCP tool responds.
2. **Check Current Profile Status**:
- Read `~/.wishket-radar/profile.yaml` (or `WISHKET_PROFILE` override).
- If a profile already exists, summarize it and ask the user via `AskUserQuestion` whether they wish to keep or reconfigure it.
- Keep existing: Proceed directly to Step 4 (Baseline Scan).
- Reconfigure or no profile: Proceed to Step 3.
3. **Profile Interview & profile.yaml Creation**:
- Conduct an interactive interview via `AskUserQuestion` (up to 4 questions per turn):
- Core technical stack (e.g., Rust, Svelte+TS, Flutter, AWS)
- Relative importance per stack (High / Medium / Low -> weight 3 / 2 / 1)
- Applicable roles (e.g., Backend Developer, Fullstack Developer)
- Working conditions & notes (Remote/On-site, preferred domains)
- Create `~/.wishket-radar/profile.yaml`: auto-expand Korean + English synonym keywords per skill (e.g., Rust -> rust, 러스트, cargo, axum / Flutter -> flutter, 플러터, dart, 모바일 앱).
- Inform the user that profile updates take effect immediately on the next scan without restarting the server.
4. **Baseline Scan**:
- Propose running `scan_new` once (defaults: `development`, 3 pages).
- On the first run, all fetched projects are recorded in the baseline cache (`~/.wishket-radar/state.db` (SQLite, WAL)) — subsequent scans will only report newly posted projects.
- Skip if the user declines.
5. **Completion & Next Steps Guide**:
- **Check New Projects**: `wishket-scan` (e.g., *"위시켓 새 프로젝트 있어?"*, *"새 외주 올라온 거 있나?"*)
- **Deep Analysis & Report**: `wishket-scout` (e.g., *"위시켓 분석해줘"*, *"스카우트 리포트"*)
- **Real-time Filtered Search**: `wishket-search` (e.g., *"flutter 외주 찾아줘"*, *"파이썬 백엔드 검색해줘"*)
- **Profile & Weight Tuning**: `wishket-profile` (e.g., *"Rust 가중치 올려줘"*, *"FastAPI 키워드 추가"*)
- **Triage & Dashboard**: `wishket-dashboard` (e.g., *"대시보드"*). Triage projects in Inbox (Interested/Skip); interested items flow into the pipeline.
- **Portfolio Drafting**: `wishket-portfolio` (e.g., *"이 프로젝트로 포트폴리오 써줘"*).
- **Application & Proposal**: `wishket-apply` (e.g., *"이 공고 지원서 써줘"*). Use `wishket-quote` for estimation, `wishket-pipeline` for stage tracking, and `wishket-deadline` for calendar reminders.
- If the host environment supports scheduled tasks, suggest scheduling a daily morning scan routine.From epicsagas/wishket-radar, Apache-2.0.
More from epicsagas/wishket-radar
- 0.549score
wishket-scout
epicsagas
In-depth analysis and report generation for new Wishket projects.
SkillAFreshness: AClaude Code +9 - 0.549score
wishket-feedback
epicsagas
Calibrate matching profile using historical application outcomes.
SkillAFreshness: AClaude Code +9 - 0.549score
wishket-pipeline
epicsagas
Track Wishket application pipeline.
SkillAFreshness: AClaude Code +9 - 0.549score
wishket-portfolio
epicsagas
Draft Wishket portfolio entries.
SkillAFreshness: AClaude Code +9 - 0.549score
wishket-dashboard
epicsagas
Launch the Wishket local dashboard web UI.
SkillAFreshness: AClaude Code +9 - 0.549score
wishket-apply
epicsagas
Draft Wishket project proposals.
SkillAFreshness: AClaude Code +9 - 0.549score
wishket-deadline
epicsagas
Register Wishket project deadlines into macOS / Google Calendar.
SkillAFreshness: AClaude Code +9 - 0.549score
wishket-quote
epicsagas
Estimate project cost and man-days for Wishket postings.
SkillAFreshness: AClaude Code +9 - 0.547score
wishket-profile
epicsagas
View or edit technical matching profile.
SkillAFreshness: AClaude Code +9 - 0.545score
wishket-search
epicsagas
Ad-hoc search for Wishket projects without recording to seen cache.
SkillAFreshness: AClaude Code +9 - 0.545score
wishket-scan
epicsagas
Diff scan for new Wishket projects registered since the last scan.
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 4, 2026 (2 months ago)
- Last release
- Oct 23, 2026 (13 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/epicsagas/wishket-radar
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from epicsagas
- 0.641score
book-visuals
epicsagas
Book visual system: art bible and look lock, figure plan per chapter, code-rendered diagrams/charts/technical drawings, diffusion-generated illustrations and…
SkillAFreshness: A★ 38Claude Code +9 - 0.638score
book-game
epicsagas
Game narrative craft reference: branching architecture, quest design, dialogue systems, lore bible, player agency, and game-writing AI tells.
SkillAFreshness: A★ 38Claude Code +9 - 0.638score
book-academic
epicsagas
Academic writing craft reference: IMRAD and discipline structures, literature review, argument chains, citation integrity, academic register in en/ko/ja, and…
SkillAFreshness: A★ 38Claude Code +9 - 0.638score
book-draft
epicsagas
Phase 3: Drafting.
SkillAFreshness: A★ 38Claude Code +9 - 0.638score
book-fiction
epicsagas
Fiction craft reference for all subgenres: structure options, scene design, character depth, dialogue, POV and distance, the fiction-specific AI tells, and…
SkillAFreshness: A★ 38Claude Code +9 - 0.638score
book-edit
epicsagas
Phase 4: Editing.
SkillAFreshness: A★ 38Claude 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.
Get wishket-onboard running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
wishket-onboard skill. Agent Mart. https://agentmart.dev/skills/epicsagas-wishket-onboard (last updated 2026-10-24)