david.delagneau
8026da5719
- Introduced new commands and skills for workspace memory curation, professional communication, and status reporting. - Updated existing commands to utilize new skills and improve clarity in instructions. - Created a new workspace context command to load reusable core and active project profile. - Enhanced Mattermost inbox integration with support for generic environment variables. - Established a clear separation between project-independent core logic and project-specific profiles. - Improved documentation across various files to reflect changes in workflow and command usage. - Added operational memory management rules to ensure accurate context promotion and correction. - Updated README and workflow documents to guide users in utilizing the new structure effectively.
84 lines
4.5 KiB
Markdown
84 lines
4.5 KiB
Markdown
---
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description: Import a historical Slack export and refine workspace memory from it
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---
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Use a Slack export as a historical context source for the workspace.
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Interpret this as historical recovery, not as current truth and not as model training.
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Inputs:
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- `$ARGUMENTS` may contain an export path, channel names, or date filters
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- if no explicit path is given in the arguments, use `AIW_SLACK_EXPORT_PATH` when available
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- compatibility fallback: `FIDELITY_SLACK_EXPORT_PATH`
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- otherwise, if `archives/slack/export/` exists, use it as the default import source
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- if no channels are specified, auto-detect channels using `AIW_CHANNEL_PREFIX`
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- compatibility/default prefix: `fidelity`
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- if no message limit is specified, auto-tune message selection based on archive size
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- if no date range is specified, do an initial full-history sweep across the detected `fidelity*` channels
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- preserve broad coverage across years and channels while still prioritizing high-signal messages
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First, run the importer:
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!`prefix="${AIW_CHANNEL_PREFIX:-fidelity}"; if [ -n "$ARGUMENTS" ]; then python3 scripts/slack/import_slack_export.py $ARGUMENTS; elif [ -n "$AIW_SLACK_EXPORT_PATH" ]; then python3 scripts/slack/import_slack_export.py --export-path "$AIW_SLACK_EXPORT_PATH" --channel-prefix "$prefix"; elif [ -n "$FIDELITY_SLACK_EXPORT_PATH" ]; then python3 scripts/slack/import_slack_export.py --export-path "$FIDELITY_SLACK_EXPORT_PATH" --channel-prefix "$prefix"; elif [ -d archives/slack/export ]; then python3 scripts/slack/import_slack_export.py --export-path archives/slack/export --channel-prefix "$prefix"; else echo "Provide Slack import arguments, set AIW_SLACK_EXPORT_PATH, set FIDELITY_SLACK_EXPORT_PATH, or place an extracted export in archives/slack/export."; fi`
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Read:
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@ai/AGENTS.md
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@core/README.md
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@core/memory/operational-memory.md
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@core/integrations/communication-model.md
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@ai/context/index.md
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@ai/context/project.md
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@ai/context/systems/index.md
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@ai/context/workstreams/index.md
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@ai/context/process/index.md
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@ai/context/people/index.md
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@ai/context/people/manager.md
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@ai/work-items/index.md
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@ai/state/current.md
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@ai/state/work-items.md
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@knowledge/agent-memory-rules.md
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@knowledge/memory-promotion-rules.md
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Imported summary, if present:
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!`if [ -s scripts/slack/generated/slack_summary.md ]; then cat scripts/slack/generated/slack_summary.md; else echo "No Slack summary generated."; fi`
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Imported Slack context, if present:
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!`if [ -s scripts/slack/generated/slack_context.jsonl ]; then cat scripts/slack/generated/slack_context.jsonl; else echo "No Slack context generated."; fi`
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Instructions:
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- treat the Slack archive as historical evidence, not promoted memory by itself
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- assume this may be a large multi-year export
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- assume the first import should preserve evidence from the beginning of the project, not just recent history
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- promote durable project-relevant context automatically when confidence is high
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- prefer promoting:
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- repeated Jira IDs and titles still relevant to current understanding
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- durable role/person associations
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- recurring architecture or debugging patterns
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- past approvals or decisions that still matter
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- create or update person files when the archive shows a human repeatedly contributing across channels, years, or high-signal technical/process discussions
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- store people conservatively:
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- exact role only when explicitly supported by the archive
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- otherwise store collaboration pattern, communication style, and project relationship
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- actively look for:
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- Jira IDs plus explicit titles, sizing, and scope changes
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- repeated architecture themes around XFlow, SwiftUI, REST, GraphQL, auth, and entry-point behavior
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- ownership or responsibility boundaries between framework and consuming app teams
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- recurring pipeline or dependency failures that shaped project work
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- named people who repeatedly drive approvals, technical framing, or debugging direction
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- prioritize high-signal messages such as Jira references, approvals, scope changes, root-cause notes, points, and persistent technical constraints
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- favor messages that help reconstruct project history across multiple years, not just the newest ones
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- avoid promoting outdated daily status unless it changes current understanding
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- update existing memory when the archive clarifies or corrects it
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- if historical facts are ambiguous or likely outdated, summarize them as archived context instead of promoting them
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Return:
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1. What was imported
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2. Which files were updated
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3. Which historical facts were promoted or intentionally left as archive-only context
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