wishket-quote
Estimate project cost and man-days for Wishket postings.
Skill by epicsagas
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/epicsagas-wishket-quote
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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-quote
What's inside
- Skill name
wishket-quote- Description
- Estimate project cost and man-days for Wishket postings. Decomposes project requirements into functional units and provides low/standard/high estimates. 위시켓 공고 견적 산출. "견적 계산해줘", "이 공고 얼마 정도 불러야 해?", "공수 산정", "견적 잡아줘" 등에 사용. 휴리스틱 기반 견적.
- License
- Apache-2.0
- Instructions
- 63 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# wishket-quote — Project Cost & Man-day Estimation
## Premise
This skill uses **functional decomposition + heuristic effort coefficients** to establish an estimation baseline. It is not an absolute market rate. Always label results with "Heuristic estimate; user adjustment required".
## Flow
```mermaid
flowchart LR
A[Project details / Requirement doc] --> B[Functional decomposition]
B --> C[Assign man-days by complexity]
C --> D[Add risk & buffer factors]
D --> E[Low / Standard / High quotes]
E --> F{Project budget specified?}
F -- Yes --> G[Evaluate against budget]
```
## Step 1: Input
- Project ID/URL: Fetch via `get_project`. Check `state.db` cache `seen[<id>].description` first if available.
- Requirement Document (PDF/PPT/DOCX): Extract text following `wishket-portfolio` extraction methods.
- Fallback: Ask user for verbal/bullet list of features.
## Step 2: Functional Decomposition
Break down requirements into actionable units. Tag each feature with role components (UI, Backend, Infra, Design, Integration). Explicitly mark out-of-scope items (e.g., Maintenance, Marketing).
## Step 3: Man-day Allocation (Heuristic)
Classify man-days per feature into 3 complexity levels (single developer basis):
| Complexity | Criteria | Man-days |
|---|---|---|
| Simple | Single CRUD, reusing existing pattern | 1-2 days |
| Medium | New screen + API, standard integrations (PG, SSO) | 3-5 days |
| Complex | Algorithms, RAG pipelines, settlement engines, performance tuning | 7-15 days |
Adjustment Multipliers:
- Ambiguous specs or heavy "to be decided" items: +30%.
- Legacy codebase analysis required: +15%.
- External 3rd party coordination dependencies: +15%.
- Testing, deployment, buffer: +20% base on development subtotal.
## Step 4: Cost Calculation
- Ask the user for their daily rate in 만원 per man-day. Do not assume a default rate. If unknown, report man-days only and ask for the rate before converting to KRW. Quote KRW = man-days × (만원/인일) × 10,000.
- 3 Tiers: Lower bound (excluding buffer), Standard (default), Upper bound (all risk buffers included).
- Comparison with posting budget: Within budget / Borderline (80-120% of budget) / Exceeded (suggest scope cuts).
- If budget exceeded, offer feature prioritization cuts.
## Step 5: Output
- Plain text table (compatible with Wishket forms and chat): Feature | Complexity | Man-days.
- Total man-days, 3 tier estimates, budget comparison, and stated assumptions (daily rate, excluded items).
- If proceeding to `wishket-apply`, use standard estimate as temporary budget figure.
## Caution
- Provide a 1-line rationale for each feature's man-day allocation so the user can adjust easily.
- If the user provides empirical experience figures (e.g., "PG integration takes 2 days for me"), prioritize their input and update the coefficient table for this run.From epicsagas/wishket-radar, Apache-2.0.
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- 0.549score
wishket-deadline
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Register Wishket project deadlines into macOS / Google Calendar.
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wishket-feedback
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Calibrate matching profile using historical application outcomes.
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wishket-onboard
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Onboarding for Wishket plugin.
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wishket-pipeline
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Track Wishket application pipeline.
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wishket-portfolio
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Draft Wishket portfolio entries.
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wishket-dashboard
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Launch the Wishket local dashboard web UI.
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wishket-apply
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Draft Wishket project proposals.
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wishket-scout
epicsagas
In-depth analysis and report generation for new Wishket projects.
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wishket-profile
epicsagas
View or edit technical matching profile.
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wishket-scan
epicsagas
Diff scan for new Wishket projects registered since the last scan.
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wishket-search
epicsagas
Ad-hoc search for Wishket projects without recording to seen cache.
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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
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wishket-quote skill. Agent Mart. https://agentmart.dev/skills/epicsagas-wishket-quote (last updated 2026-10-24)