Product-org-os interaction-recall

'Query past agent conversations and session history by topic, agent, or date. Activate when: "what did we discuss about", "past conversations on", session history, previous agent work, interaction

install

source · Clone the upstream repo

git clone https://github.com/yohayetsion/product-org-os

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/yohayetsion/product-org-os "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/interaction-recall" ~/.claude/skills/yohayetsion-product-org-os-interaction-recall && rm -rf "$T"

manifest: skills/interaction-recall/SKILL.md

source content

Query past interactions — agent conversations, gateway sessions, and skill invocations — to understand what was discussed, who contributed, and what conclusions were reached.

Vision to Value Phase

Cross-phase — This skill surfaces conversation history relevant to any phase of work.

Prerequisites: Interaction log populated (interactions logged via the interaction logging system) Outputs used by: Any agent or skill needing prior conversation context

Purpose

Before starting work in an area that may have been discussed before, query the interaction log to surface:

What was previously discussed on this topic
Which agents contributed perspectives
What conclusions or outcomes were reached
What open questions remain

This complements

/context-recall

(which searches decisions, bets, and learnings) by searching conversation history — the request/response pairs that led to those decisions.

When to Use

Invoke

/interaction-recall [topic]

when:

Starting a new session and want to pick up where you left off
Checking what agents previously said about a topic
Auditing how a conclusion was reached
Understanding the progression of thinking on a topic
Finding which agents have weighed in on an area

Query Syntax

/interaction-recall pricing                      → All pricing interactions
/interaction-recall pricing agent:pm             → Only PM's pricing interactions
/interaction-recall pricing date:2026-01         → January 2026 only
/interaction-recall pricing product:AXIA         → Product-filtered
/interaction-recall pricing type:gateway         → Only gateway sessions
/interaction-recall agent:pm                     → All PM interactions (any topic)
/interaction-recall date:2026-01-27              → All interactions on a specific date

Filters

Filter	Format	Example
`agent:`	Agent key	`agent:pm` , `agent:vp-product` , `agent:plt`
`date:`	YYYY, YYYY-MM, or YYYY-MM-DD	`date:2026` , `date:2026-01` , `date:2026-01-27`
`product:`	Product name	`product:AXIA`
`type:`	Interaction type	`type:agent` , `type:gateway` , `type:skill`

Multiple filters can be combined:

/interaction-recall pricing agent:pm product:AXIA

Process

1. Parse Query

Extract:

Topic keywords: The main search terms
Filters: agent, date, product, type (optional)

2. Search JSON Index

Read

context/interactions/index.json

and search:

Topic search: Match keywords against
```
topicIndex
```
keys and entry
```
topics
```
arrays
Request/outcome search: Match keywords against
```
requestSummary
```
and
```
outcomeSummary
```
fields
Apply filters: Filter results by agent, date, product, type as specified

3. Rank Results

Order by relevance:

Exact topic match in
```
topicIndex
```
Keyword match in
```
requestSummary
```
or
```
outcomeSummary
```
Partial topic match
Most recent first (within same relevance tier)

4. Retrieve Full Content

For the top 5 matches:

Read the daily log file at
```
entries[].path
```
Find the specific entry by ID within the file
Extract full request and response content

5. Present Results

## Interaction History: [Topic]

*Found [N] interactions matching "[query]"*
*Filters: [applied filters]*

---

### IX-2026-00042 | {emoji} @pm | 2026-01-27 14:23
**Topics**: prd, authentication, requirements-gaps
**Product**: AXIA

**Request**: Review authentication PRD for requirements gaps

**Outcome**: Found 3 gaps: SSO edge cases, session timeout, MFA fallback

**Related**: DR-2026-003, DOC-2026-015

<details>
<summary>Full conversation</summary>

[Full request and response text]

</details>

---

### IX-2026-00038 | {emoji} @vp-product | 2026-01-25 10:15
...

---

### Related Context

These skills may surface additional information:
- `/context-recall [topic]` — Decisions, bets, learnings on this topic
- `/feedback-recall [topic]` — Customer feedback on this topic

*Showing top 5 of [N] matches. Narrow with filters: `agent:`, `date:`, `product:`, `type:`*

6. Handle No Results

If no interactions match:

## Interaction History: [Topic]

No interactions found matching "[query]".

**Suggestions**:
- Try broader keywords
- Remove filters to widen search
- Check `/context-recall [topic]` for decisions and documents
- Check `/feedback-recall [topic]` for customer feedback

Instructions

Accept topic/keyword from user (at least one keyword or filter required)
Parse optional filters:
```
agent:
```
,
```
date:
```
,
```
product:
```
,
```
type:
```
Read
```
context/interactions/index.json
```
Search entries using topic matching + filters
Rank results by relevance, then recency
For top 5 matches, read full content from daily log files
Present results with summaries and expandable full content
Suggest related context skills (
```
/context-recall
```
,
```
/feedback-recall
```
)
If no matches, provide helpful suggestions

Example Usage

User: /interaction-recall pricing

Agent: Searches context/interactions/index.json for topic "pricing"
       Returns matching interactions with summaries and full content
       Suggests /context-recall pricing for related decisions

User: /interaction-recall agent:pm date:2026-01

Agent: Returns all PM interactions from January 2026
       Ordered by date, most recent first

User: /interaction-recall enterprise product:AXIA type:gateway

Agent: Returns gateway sessions about enterprise topics for AXIA
       Shows all agent perspectives from those sessions