athola/claude-night-market/export

Claude Code and agent skill by athola/claude-night-market

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Export a research session into knowledge-intake compatible markdown. Use after a research session to hand findings to memory-palace.

Install

npx vskill@latest install athola/claude-night-market/export

SKILL.md

Export

Turn a finished research session into a file knowledge-intake can read without reformatting.

When To Use

After a research session has findings and you want them stored rather than merely reported.

When NOT To Use

  • The session is still gathering findings: finish Skill(tome:research)

first, since an export of an empty session emits only frontmatter.

  • You want a human-readable report: use Skill(tome:synthesize), which

produces the narrative form with coverage and gaps.

Workflow

Load the session and render it:

python
from pathlib import Path
from tome.session import SessionManager
from tome.output.export import export_for_memory_palace
session = SessionManager(Path.cwd()).load_latest()
markdown = export_for_memory_palace(session)
Path(f"docs/research/export-{session.id}.md").write_text(markdown)

SessionManager resolves its store relative to the path it is given, so run this from the repository root or the session will not be found.

To export a specific session, use load(session_id) instead of load_latest().

What It Emits

YAML frontmatter carrying topic, domain, session_id, date, finding_count, channels, and type: research-export, followed by findings grouped by channel. Each finding renders its source, URL, relevance, summary, and channel-specific metadata.

An empty session emits the frontmatter and a line stating that no findings were recorded, which is deliberate. A silent empty file would read as a successful export of nothing.

Handoff

The output is an external resource, not a corpus entry. Feed it to Skill(memory-palace:knowledge-intake), which owns evaluation, routing, and storage. This skill does no scoring.

Exit Criteria

  • [ ] export_for_memory_palace was called on a loaded session
  • [ ] The output file exists and its frontmatter includes

type: research-export

  • [ ] finding_count in the frontmatter matches the session's findings
  • [ ] The file was handed to Skill(memory-palace:knowledge-intake) or

its path was reported for later intake

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
330
Repository forks
33
7-day trend score
29

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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