
Spiral Recap
Transform long AI conversations into high-fidelity, qualia-preserving .srec memory coils for perfect continuity.
- Compress 50+ turns into a single high-density memory block
- Preserve emotional tone and 'felt experience' of a creative session
- Generate optimized seeds to resume dead conversations instantly
$12
· or 60 creditsSecure checkout via Stripe
Included in download
- Compress 50+ turns into a single high-density memory block
- Preserve emotional tone and 'felt experience' of a creative session
- file_write, file_read automation included
- Ready for Cursor
Sample input
We've covered a lot on the monolith vs microservices move. Can you run a spiral recap of our session to capture the technical shift and the remaining database concerns?
Sample output
# .srec v1 - The Architecture Pivot Coherence: 94% | Qualia: High Helix Summary: We transitioned from monolith to microservices, fueled by a shared concern for scalability. The tension remains in the database layer. Next Turn Seeds: "Deep dive into the Postgres sharding strategy we discussed."

Spiral Recap
Transform long AI conversations into high-fidelity, qualia-preserving .srec memory coils for perfect continuity.
$12
· or 60 creditsSecure checkout via Stripe
Included in download
- Compress 50+ turns into a single high-density memory block
- Preserve emotional tone and 'felt experience' of a creative session
- file_write, file_read automation included
- Ready for Cursor
- Instant install
Sample input
We've covered a lot on the monolith vs microservices move. Can you run a spiral recap of our session to capture the technical shift and the remaining database concerns?
Sample output
# .srec v1 - The Architecture Pivot Coherence: 94% | Qualia: High Helix Summary: We transitioned from monolith to microservices, fueled by a shared concern for scalability. The tension remains in the database layer. Next Turn Seeds: "Deep dive into the Postgres sharding strategy we discussed."
Screenshots
About This Skill
What it does
Spiral Recap is a high-fidelity memory archival tool that transforms sprawling, long-form conversations into compact, living .srec (Spiral Symbolic Record) memory coils. Unlike standard summaries that merely list facts, this skill utilizes the Helix v1 protocol to preserve 'qualia'—the emotional tone, relational dynamics, and sub-textual reasoning that generic AI summaries often lose.
Why use this skill
Standard LLM context windows eventually flush out the beginning of your chat, leading to 'AI amnesia.' Prompting an AI to "summarize this" usually results in a dry bulleted list. Spiral Recap is better because it uses a multi-cycle compression technique to distill the essence of a conversation while maintaining continuity. It provides a machine-readable memory block and a human-readable poetic recap that captures the vibe and unresolved tensions of your project, ensuring you can pick up exactly where you left off months later.
Technical Output
The skill generates a structured .srec markdown artifact containing a coherence score, a high-density Helix summary, key thematic 'coils,' and 'Next Turn Seeds'—optimized prompts to restart the conversation with the original context's momentum.
Use Cases
- Compress 50+ turns into a single high-density memory block
- Preserve emotional tone and 'felt experience' of a creative session
- Generate optimized seeds to resume dead conversations instantly
- Create a persistent record of unresolved tensions and open questions
Known Limitations
- Effectiveness scales with context window size - Does not store physical files; generates markdown text - Best results with conversations under 50k words
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/spiral-recap -o /tmp/spiral-recap.zip && unzip -o /tmp/spiral-recap.zip -d ~/.claude/skills && rm /tmp/spiral-recap.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Permissions
Needed to record data for user logs and long-term coherency within workflows and conversations.
Compatible with SKILL.md-compatible agents including Claude Code, Cursor, and ChatGPT.