---

name: chain-load description: Load a chain to restore context from previous work. Use anytime when working on related topics - proactively search and suggest relevant chains.

Chain Load - Load Work Context

Load chain links to restore context. Can be used anytime, not just at session start.

Usage

Copy/chain-load [chain-name]
/chain-load [search-query]

Proactive Behavior

When working on a task, proactively check for relevant context:

1. Use tinymem_chain_search to find chains matching current work topic
2. Use tinymem_search to find individual memory segments
3. Suggest loading relevant chains or segments to the user

Segments vs Chains:

• Segments (memories): Individual insights via tinymem_search + tinymem_get
• Chains: Full workflow context via tinymem_chain_load

Instructions

1. Find Chain:

   • If exact chain-name provided → use tinymem_chain_load
   • If query provided → use tinymem_chain_search for fuzzy matching
   • If nothing provided → use tinymem_chain_list to show all

2. Load Chain Links - Call tinymem_chain_load:

   • chain_name: the chain to load
   • limit: 5 (default, most recent links)

3. Parse and Present Context - Extract from XML:

   • Previous summaries
   • Decisions with rationale
   • Code changes history
   • Outstanding issues
   • Next steps

Output Format

Copy## Chain: [name] ([count] links)

### Latest: [slug] - [date]
<summary and next-steps from most recent link>

### Context
<key decisions and history from older links>

### Suggested Action
[Next step based on chain state]

Examples

User: /chain-load auth-feature → Loads auth-feature chain

User: /chain-load auth → Searches chains matching "auth"

User working on auth code (proactive): → Agent: "Found chain 'auth-feature' with 3 links. Load context?"