You will analyze recent SpecStory session history files to provide a standup-style summary.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionspecstory-session-summaryExecute the skills CLI command in your project's root directory to begin installation:
Fetches specstory-session-summary from specstoryai/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate specstory-session-summary. Access via /specstory-session-summary in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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You will analyze recent SpecStory session history files to provide a standup-style summary.
Argument provided: $ARGUMENTS (default: 5 sessions, or "today" for today's sessions only)
First, check if the SpecStory history folder exists and list recent session files:
ls -t .specstory/history/*.md 2>/dev/null | head -20
If no .specstory/history folder exists or it's empty, respond with:
No SpecStory session history found in this directory.
SpecStory automatically saves your AI coding sessions for later reference. To start recording your sessions, install SpecStory from https://specstory.com
Then stop - do not proceed with the remaining steps.
If sessions are found, continue with the analysis. If the argument is "today", filter to today's date. Otherwise use the number provided (default 5).
Session files can be very large and may contain multiple user requests. Use this chunked reading strategy:
Step 2a: Understand the session structure
First, grep for all user message markers to see the session's scope:
grep -n "_\*\*User\*\*_" <file> | head -10
This shows line numbers of user messages, helping you understand:
Step 2b: Read strategically based on structure
Beginning (first 500 lines) - Read with offset=0, limit=500
End (last 300 lines) - Use tail -300 <file> via Bash
File operations - Grep for modifications:
grep -E "(Edit|Write)\(" <file>
Step 2c: For multi-request sessions
If the grep in 2a shows multiple user messages at distant line numbers (e.g., lines 50, 800, 1500), this indicates multiple distinct tasks. For these sessions:
offset=795, limit=100)Extract this information:
_**User**_ blocks
Present each session as:
### {YYYY-MM-DD HH:MM} - {Brief Title from Main Goal}
**Goal**: {1 sentence summarizing what user wanted}
**Outcome**: {emoji} {Brief result description}
**Files**: {comma-separated list, or "None" if research only}
**Key insight**: {Notable decision or learning, if any}
For multi-task sessions, adjust the format:
### {YYYY-MM-DD HH:MM} - {Overall Theme or Primary Task}
**Tasks**:
1. {First task} - {outcome emoji}
2. {Second task} - {outcome emoji}
**Files**: {comma-separated list}
**Key insight**: {Notable decision or learning, if any}
After all sessions, add:
---
**Patterns**: {Note any recurring themes, files touched multiple times, ongoing work}
**Unfinished**: {Any sessions that ended with TODOs, blockers, or incomplete work}
## Session Summary (Last 3 Sessions)
### 2025-10-18 11:42 - Investigate Chat CRDT Storage
**Goal**: Understand why chat index CRDT doesn't contain the thread
**Outcome**: 📚 Explained dual storage design for offline/online sync
**Files**: threads.json, crdt-debug/4X/, crdt-debug/aT/
**Key insight**: Two storage layers (CRDT + JSON) serve different sync scenarios
### 2025-10-18 11:09 - Address Code Review Comments
**Goal**: Fix clarity issues from code review
**Outcome**: ✅ Refactored normalizeChatIndexDoc function
**Files**: chat.go, automerge-bridge.js
**Key insight**: Replaced complex normalization with toPlainString helper
### 2025-10-11 14:30 - Automerge Architecture Deep Dive
**Goal**: Document how Automerge docs are constructed temporally
**Outcome**: 📚 Research complete, walkthrough provided
**Files**: automerge-bridge.js, document.go (read only)
---
**Patterns**: 3 sessions focused on CRDT/chat subsystem; automerge-bridge.js touched repeatedly
**Unfinished**: None detected
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
specstory-session-summary fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: specstory-session-summary is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added specstory-session-summary from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
specstory-session-summary fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added specstory-session-summary from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in specstory-session-summary — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend specstory-session-summary for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
specstory-session-summary has been reliable in day-to-day use. Documentation quality is above average for community skills.
specstory-session-summary reduced setup friction for our internal harness; good balance of opinion and flexibility.
specstory-session-summary is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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