Summarize recent SpecStory AI coding sessions in standup format. Use when the user wants to review sessions from .specstory/history, prepare for standups, track work progress, or understand what was accomplished.
Install with Tessl CLI
npx tessl i github:specstoryai/agent-skills --skill specstory-session-summary90
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Standup summary output format
Completed emoji
0%
100%
Research emoji
0%
100%
Title from goal, not filename
50%
100%
Filenames only, not full paths
0%
100%
Goal field present
0%
100%
Outcome field present
0%
100%
Files field present
12%
100%
None for research files
50%
100%
Patterns section present
0%
100%
Unfinished section present
36%
100%
Without context: $0.1186 · 27s · 8 turns · 9 in / 1,289 out tokens
With context: $0.4193 · 1m 36s · 24 turns · 22 in / 4,699 out tokens
Today argument date filtering
Only today's sessions
100%
100%
Yesterday excluded
100%
100%
Both today's sessions present
100%
100%
Completed emoji used
0%
100%
Blocked emoji used
0%
100%
Goal field present
0%
100%
Outcome field present
0%
100%
Patterns section present
0%
100%
Unfinished section present
0%
100%
Without context: $0.1239 · 36s · 8 turns · 9 in / 1,484 out tokens
With context: $0.5615 · 1m 57s · 32 turns · 506 in / 6,320 out tokens
Multi-task session format
Tasks format used
0%
100%
At least 2 tasks listed
66%
100%
Outcome emoji per task
0%
100%
Minor tasks grouped
0%
0%
Overall theme title
60%
100%
Files field present
12%
100%
Filenames only
0%
100%
Patterns section present
0%
100%
Unfinished section present
0%
100%
Without context: $0.1236 · 32s · 8 turns · 9 in / 1,379 out tokens
With context: $0.5205 · 1m 48s · 28 turns · 76 in / 5,458 out tokens
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.