time-estimate
Solidestimate CC active time for a task using the time rule, with dynamic effort resolution
AI & Automation 27 stars
5 forks Updated today MIT
Install
Quality Score: 80/100
Stars 20%
Recency 20%
Frontmatter 20%
Documentation 15%
Issue Health 10%
License 10%
Description 5%
Skill Content
<!-- tested with: claude code v2.1.122 -->
# /time-estimate
produce a realistic CC active-time estimate for the given task, grounded in `plugins/cc/rules/time.md`. never guesses effort level.
## what to do when invoked
1. **resolve active effort**, highest-precedence first. stop at the first rung that returns a value:
- `echo "${CLAUDE_CODE_EFFORT_LEVEL:-}"` (env var)
- `--effort` flag, if visible via process context
- `/effort` session state, if already set this session
- `effortLevel` key in `~/.claude/settings.json`, then any project-scoped `.claude/settings.json` under the repo root
- otherwise, model default
cite the rung that supplied the answer. if ambiguous, ask the user rather than guess.
2. **resolve active model** from the session's model id (e.g. `claude-opus-4-7`).
3. **classify session mode** using the table in the rule:
- quick fix: single-file edit, typo, config tweak
- standard: feature work, refactor, small module
- marathon: migration, infra build, multi-file refactor
4. **apply the multiplier** from the model × effort matrix in the rule. quote the baseline at `low`, then scale.
5. **return the estimate** in the rule's format:
- `CC: <range>` (always a range, never a single number)
- effort rung cited (e.g. "rung 4, settings.json")
- session mode named
- your-time estimate for review
- confidence (high / medium / low)
- risks that could 2× the number
6. if the task breaks into sub-phases, estimate each ...
Details
- Author
- anipotts
- Repository
- anipotts/claude-code-tips
- Created
- 5 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
AI & Automation Solid
time-benchmark
walk the user through a low/medium/high effort A/B/C throughput benchmark on their current model
27 Updated today
anipotts AI & Automation Solid
effort-estimate
When the user needs accurate effort estimates for tasks, features, or projects. Use when the user says "how long will this take," "effort estimate," "estimate this," "scope this," "size this," "time estimate," "sprint planning," or when planning work. Unlike generic estimates, this skill calibrates against YOUR actual velocity — past estimates vs actuals — so estimates get more accurate over time.
4 Updated 4 days ago
irfad7 AI & Automation Solid
time-calibrate
measure your real CC throughput against the time rule's matrix, using lore.db
27 Updated today
anipotts