From wp-effort-estimation
Use when asked how long WordPress work will take, when sizing or scoping a ticket, or when planning a sprint — covering pure WordPress (PHP/theme/plugin) and the React surfaces of WordPress (Gutenberg blocks, Interactivity API, block themes, headless WP like Next.js / Faust). Triggers: "how long", "estimate", "how complex is this", "can we do this in a day", "is this a big task", "how should I scope this", "break this down", sprint planning, ticket sizing, story points, t-shirt sizing, project planning for WordPress or React-in-WP work. Do NOT use for generic standalone-React projects with no WordPress involvement.
How this skill is triggered — by the user, by Claude, or both
Slash command
/wp-effort-estimation:wp-effort-estimationThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Produce structured effort estimates for WordPress development tasks — including
Produce structured effort estimates for WordPress development tasks — including the React surfaces of WordPress (Gutenberg blocks, Interactivity API, block themes, headless frontends). Always output three things: Complexity Tier, Hours/Days Range, and Confidence Range.
Scope: "React" in this skill always means React in a WordPress context (block editor, Interactivity API, admin UIs, headless WP). Generic standalone-React projects (no WP involvement) are out of scope — decline and redirect.
If the task description lacks a clear deliverable or scope, ask up to 2 clarifying questions before estimating. Do not produce a number when the spread would be meaninglessly wide (e.g. ±300%).
Good triggers to pause and ask:
Ask the minimum needed to produce a useful estimate. One focused question is better than a checklist. Once you have enough, proceed.
Every estimate must include:
| Tier | What it means |
|---|---|
| S | Straightforward, well-understood task. Minimal unknowns. |
| M | Moderate scope. Some design decisions or integration work. |
| L | Significant scope. Multiple components, systems, or edge cases. |
| XL | High uncertainty or large surface area. Requires breakdown before dev starts. |
Give a specific midpoint estimate, e.g. "~6 hours" or "~3 days". Use hours for tasks under 2 days; days for anything larger.
Give a best-case / worst-case spread, e.g. "4–10 hours" or "2–5 days". Wider range = more unknowns. Always explain what drives the spread.
Ticket field guidance: Use the tier for portfolio/roadmap views (S/M/L/XL is coarser and ages better). Use the hours/days for sprint commitment. Don't paste both into the same single-value field — pick one per field and put the other in the description.
Classify the tech stack — Is this pure WordPress (PHP/theme/plugin), React-in-WP (block editor, Interactivity API, headless WP), or both? MUST read the relevant reference file(s) before writing the estimate — baseline numbers and risk multipliers live there, not in this file.
references/wordpress.mdreferences/react.mdIdentify task type — What category does this fall into? (See reference files for task taxonomies.)
Check for unknowns — Flag anything that could expand scope:
Apply complexity multipliers (see General Multipliers section below)
Write the estimate using the template below
## Effort Estimate
**Task:** [one-line description]
**Stack:** WordPress / React-in-WP / Both
**Complexity Tier:** [S / M / L / XL]
**Estimate:** ~[X hours / X days effort] / ~[Y days duration]
**Confidence Range:** [low]–[high] [hours/days]
### Breakdown
*(Required for M, L, XL tasks. Optional for S.)*
| Subtask | Estimate |
|---------|----------|
| [step 1] | X hrs |
| [step 2] | X hrs |
| ... | ... |
| **Total** | **X hrs** |
### What's Included
- [assumption 1]
- [assumption 2]
### Risks & Unknowns
- [risk 1 — impact on range]
- [risk 2 — impact on range]
### Recommendations
*(Required for XL tasks. Optional for S/M/L.)*
[For XL: always recommend a spike/discovery ticket instead of committing to a full estimate.
For L: flag if the task should be broken into smaller tickets.
For S/M: omit or leave blank if nothing noteworthy.]
| Condition | Multiplier |
|---|---|
| Greenfield (no existing codebase) | ×1.0 |
| Existing codebase, clean | ×1.1–1.3 |
| Legacy / messy codebase | ×1.5–2.0 |
| No design provided | +20–30% |
| Third-party integration (unknown API) | +50–100% |
| Accessibility (WCAG AA) required | +15–25% |
| Tests required (unit/e2e) | +25–40% |
| Multi-language / i18n | +20–35% |
Apply codebase factor first (multiplicative), then additive factors on top of the result. Keep one decimal of precision in intermediate steps; round only the final number.
Worked example — base: 8 hrs for a dynamic Gutenberg block, clean existing codebase, no design, WCAG AA required, unit tests required:
8 × 1.2 (clean codebase) = 9.6
9.6 × 1.25 (no design, +25%) = 12.0
12.0 × 1.20 (a11y, +20%) = 14.4
14.4 × 1.30 (tests, +30%) = 18.7
→ round to 19 hrs (~2.5 days)
If multiple codebase-factor rows could apply, pick one (the worst-case one) — don't stack ×1.2 × ×1.5.
The estimate is effort (focused dev time). Duration — wall-clock from ticket open to merge — is typically 1.5–2× longer due to code review, design handoffs, QA, deploy windows, and context switching. State both when the audience is a PM or client, not just engineers.
Example output: ~8 hrs effort / ~2 days duration (assumes 1 review round + staging QA)
Log actual hours when closing the ticket. If actual vs estimated variance is >30%, note what caused the drift — this is the highest-value input for improving future estimates. Common drift sources: underestimated legacy debt, API surprises, scope creep in review, and QA finding edge cases late.
Provides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.
npx claudepluginhub s3rgiosan/wp-skills --plugin wp-effort-estimation