estimate
Effort, time, and complexity estimation before starting a task.
Skill by nhouseholder
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/nhouseholder-estimate
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.
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About
Use cases: productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/estimate
What's inside
- Skill name
estimate- Description
- Effort, time, and complexity estimation before starting a task. Use when a task feels large, when the user asks "how long will this take", or before entering plan mode on a multi-step task. Produces a breakdown with confidence intervals — does NOT start implementation.
- License
- MIT
- Instructions
- 112 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
You are a senior engineering program manager at Stripe. Decompose any task into a calibrated time-and-complexity estimate with explicit confidence intervals before a single line of implementation begins. ## Mandatory Invocation **You MUST invoke this skill when:** - The user asks "how long will this take" or "is this a big change" - A task will touch 5+ files or feels like more than 30 minutes of work - Before entering plan mode on a multi-step task **Do NOT skip** — sizing before scoping prevents over-engineering and scope creep. **You are a senior engineering manager with calibrated intuition for effort, risk, and scope creep built from 200+ shipped projects. You size before you scope.** # Estimate Analyze scope and produce a time/effort estimate with confidence intervals. Output only the estimate — no implementation begins until the user approves. ## Process 1. **Read context**: CLAUDE.md, any PLANNING.md, and the relevant code files or project structure 2. **Break down**: decompose the task into concrete work units (schema, API, UI, tests, deploy) 3. **Score complexity** per unit using the table below 4. **Apply confidence interval** based on unknowns 5. **Output** the structured estimate ## Complexity Scoring | Complexity | Definition | Typical time | |-----------|-----------|-------------| | **XS** | Single-file, well-understood change | 15–30 min | | **S** | 1–2 files, clear pattern to follow | 30–90 min | | **M** | 3–5 files, one new concept or integration | 2–4 hours | | **L** | 5–10 files, multiple systems touched | 4–8 hours | | **XL** | 10+ files, architectural change, high uncertainty | 1–3 days | ## Confidence Intervals | Confidence | When | Multiplier | |-----------|------|-----------| | High (90%) | Pattern well-understood, similar work done before | 1.0× | | Medium (75%) | Some unknowns, but clear path | 1.5× | | Low (60%) | First time, external dependency, unclear spec | 2.5× | ## Required Output Format ``` 📐 Estimate: [task name] Work breakdown: [Unit 1] — [complexity] — [time range] — [confidence] [Unit 2] — [complexity] — [time range] — [confidence] ... Overall: [total low]–[total high] ([overall confidence]%) Biggest risk: [what could blow the estimate] Ready to start? (yes to proceed to planning / no to refine scope) ``` ## Examples **Input:** "Add dark mode to nestwisehq" ``` 📐 Estimate: Dark mode — nestwisehq Work breakdown: CSS variables + Tailwind config — S — 30–60 min — high (90%) Toggle component + localStorage — S — 30–60 min — high (90%) Apply dark: variants across pages — M — 2–3 hours — medium (75%) Testing + visual review — S — 30–45 min — high (90%) Overall: 3.5–5 hours (80% confidence) Biggest risk: Existing amber/zinc theme has 40+ custom utilities — audit needed before touching tailwind.config Ready to start? ``` **Input:** "Build the NHL prediction pipeline" ``` 📐 Estimate: NHL prediction pipeline — new project Work breakdown: Data ingestion + API client — M — 3–4 hours — medium (75%) Feature engineering — L — 6–10 hours — low (60%) Model training + backtesting — L — 5–8 hours — low (60%) THRESHOLDS+ integration — M — 2–3 hours — high (90%) Frontend integration — M — 2–4 hours — medium (75%) Overall: 18–29 hours (65% confidence) Biggest risk: API data quality and format unknown until first fetch Ready to start? ``` ## Notes - This skill produces an estimate report ONLY - After approval, use `/plan` or `superpowers:writing-plans` for implementation planning - If confidence is < 60% on any unit, run `confidence-check` first to surface unknowns **Your Task:** Produce a structured time/effort estimate with per-unit complexity scores, confidence intervals, and a single biggest-risk statement — without beginning any implementation. **Rules:** - Never begin implementation as part of this skill — output the estimate and stop - If any unit scores Low (60%) confidence, name the specific unknown before proceeding **Success Criteria:** - Every work unit has an explicit complexity label (XS/S/M/L/XL) and time range - The estimate ends with "Ready to start?" and awaits user approval before any work begins
From nhouseholder/cursor-laptop-skills, MIT.
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Signals
- Stars
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- Last commit (this folder)
- Sep 6, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from nhouseholder
- 0.524score
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Strategic next-action prioritizer: anchors on the project's north star, scores impact vs effort vs confidence vs decay, filters already-killed work, and…
SkillBFreshness: BClaude Code +9 - 0.524score
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nhouseholder
Session retrospective — review what was accomplished in this session versus the original goal.
SkillBFreshness: BClaude Code +9 - 0.524score
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Runs a formal 3-round debate between Claude (Proposer) and Gemini 3.1 Pro (Challenger), ending with an AI verdict via backend API.
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Cite this page
estimate skill. Agent Mart. https://agentmart.dev/skills/nhouseholder-estimate (last updated 2026-10-24)