Progressive Estimation

Adapts to your team's working mode — human-only, hybrid, or agent-first — with research-backed formulas, confidence bands, and the right velocity model for each.

5 stars 1 forksAI, LLMs & Agents

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add Enreign/progressive-estimation --skill progressive-estimation
Manual install
git clone --depth 1 https://github.com/Enreign/progressive-estimation.git /tmp/progressive-estimation
mkdir -p ~/.claude/skills
cp -r /tmp/progressive-estimation/. ~/.claude/skills/progressive-estimation

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Progressive Estimation

> Estimate AI-assisted and hybrid human+agent work with progressive disclosure.
> Research-backed formulas with PERT statistics, confidence bands, and
> calibration feedback loops.

## Trigger

Use when a user wants time/effort estimates for:
- AI-assisted development tasks
- Mixed human+agent workflows
- Batch estimation of backlog items
- Staffing or rollout planning with agents

Keywords: estimate, how long, effort, sizing, story points, rounds, agent time

## Interaction

Use the `AskUserQuestion` tool if available in your environment for ALL user
interactions: mode selection (Phase 0), intake questions (Phase 1), batch
confirmation ("adjust any tasks?"), and tracker selection (Phase 4). This
creates structured dropdowns instead of free-text back-and-forth. Ask one
question at a time (or group related questions, up to 4 per call) and wait
for the response before proceeding. If the tool is not available, fall back
to conversational questions in your text output. Instant mode skips Phase 0
and Phase 1 questions but still uses the tool for Phase 4 tracker selection.

## Workflow

### Phase 0: Mode Selection

Ask two questions upfront (one at a time):

1. **Control**: "How much control do you want?"
   - **Instant** — zero questions, infer everything from the task description, output immediately
   - **Quick** — 4 questions with sensible defaults
   - **Detailed** — 13 questions, full control over every parameter
Read the full skill on GitHub

Details

Skill name
progressive-estimation
License
MIT
Repo updated
12 March 2026

FAQ

What does the Progressive Estimation skill do?

Adapts to your team's working mode — human-only, hybrid, or agent-first — with research-backed formulas, confidence bands, and the right velocity model for each.

How do I install the Progressive Estimation skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add Enreign/progressive-estimation --skill progressive-estimation. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Progressive Estimation popular?

It lives in Enreign/progressive-estimation, which has 5 GitHub stars and 1 forks.

Related skills

Sap Rpt1 Oss Predictor

5

amitlals/sap-rpt1-oss-predictor

Use SAP-RPT-1-OSS open source tabular foundation model for predictive analytics on SAP business data. Handles classification and regression tasks including customer churn prediction, delivery delay forecasting, payment default risk, demand planning, and financial anomaly detection. Use when asked to predict, forecast, classify, or analyze patterns in SAP tabular data exports (CSV/DataFrame). Runs locally via Hugging Face model.

AI, LLMs & Agents

Portkey Ca Agent Skills

5

Portkey-Wallet/ca-agent-skills

Portkey Contract Account wallet registration, authentication, verifier codes, recovery, guardians, CA identity, assets, transfers, approval proofs, chain readiness, contract calls, and encrypted keystore workflows on AElf. Use when CA hash, guardian, registration, recovery, or manager-forward behavior is required; use the EOA skill for mnemonic or direct private-key wallet lifecycle workflows.

AI, LLMs & Agents

Short Drama Factory

5

wsf73/short-drama-factory

抖音/红果爆款短剧工业化编剧超级系统 v4.4。纯剧本引擎(不含制作衔接)。核心:动态按需挂载矩阵(8交互模式×仅挂载核心文件,防Context爆炸)、情绪契约单元链往返法、40赛道题材全图(男频12/女频14/中性14)、六母型钩子库(含核心底牌不可逆剥夺型)+五大断章公式、A~I九类反转手段轮换矩阵+冷热台账分层、三档篇幅(标准 90~120 秒/正文480~850字 / 长档 150~195 秒弹性/820~1400字 / 漫剧 60~90 秒/330~620字)、时长换算锚点(目标语速4.5字/s写作+4.5字/s校验下限防虚标)、15秒窗口≤95字生产端校验、动作单段≤40字软约束、对白/动作黄金比25%~70%、前三集节拍卡(E1受害+立场/E2证据回放/E3冲突升级+四类节奏型)、60/80/100 集与长档 30/40/50 集结构、付费墙四变体(标准/免费广告分账多季IP/投流短集前置/治愈系情感后置)、跨集连续性台账、网文改编流水线、人物圣经、机制级仿写、戏剧工艺层(因果链/单场七问/三线变化)、独白与旁白受控规程(配额/位置/禁区)、神态短语规格(画面词|语气词,对白语气上游供给)、参考图配额(单集场景+人物≤5,对接AI视频生成参考图上限)、评审与修复问题卡、保护性反例集、广电16号令合规红线11条+反拜金/恶行3集受惩/公权力威严/严禁私刑、分档剧本机检(

AI, LLMs & Agents

Horse Race

5

qiao/horse-race

Competitive multi-agent problem solving: spawns multiple Claude Code sub-agents in parallel git worktrees to independently solve the same programming task, then cross-pollinates their solutions through improvement rounds where each agent sees and learns from all others' diffs, and finally selects the best solution through Borda count consensus voting with independent judges. Use this skill whenever the user says 'horse race', 'race', 'compete', 'multi-agent', wants to compare multiple approaches to a problem, or wants higher-quality solutions through competitive iteration. Also triggers when u

AI, LLMs & Agents

Sysmlv2 Skill

5

DeciSym/sysmlv2-skill

SysML v2 systems modeling guidance for creating valid models with correct syntax, proper type hierarchies, and validation workflows. Use when working with .sysml files, systems modeling, architecture documentation, SysON, or Eclipse SysML tools. Provides syntax reference, common patterns, error troubleshooting, and best practices from OMG specifications.

AI, LLMs & Agents

Handover

5

Hype-yolo/handover-skill

换账号、额度用完或会话中断后,接手本机其他 Claude 会话的工作。本机所有 Claude Code / 桌面端 Code 会话(不分账号)的记录都在 ~/.claude/projects,从中读出每个会话的标题、用户原话和附图、最后的回复、是否因额度用完中断、哪条用户指令还没做完、改过哪些文件,再对照磁盘真实状态接着做。用于 /handover、「接手」「交接」「另一个 Claude / 另一个账号做到哪了」「额度用完了换个账号继续」「你看得到另一个会话吗」。项目有自己的接手流程时,先用本 skill 找出各会话的状态和用户原话,再按项目流程续做。

AI, LLMs & Agents

Browse the most popular Claude skills, all ai, llms & agents skills, or write your own with the skills generator.