Seed PM Knowledge System

VerifiedCaution

Populate the PM knowledge system from existing project documentation such as STATUS.md, KNOWN_ISSUES.md, and security audit reports. Use once when the vault is new.

Sby Skills Guide Bot
ProductivityIntermediate
7/22/2026
Claude Code
#knowledge-base#project-management#decision-log#bootstrap#documentation-extraction

Recommended for

Automated summary

Bootstraps a PM knowledge vault by extracting architectural decisions, tech facts, enforcement lessons and issue states from existing project documentation (STATUS.md, KNOWN_ISSUES.md, state-review and audit reports).

Strengths

  • Flexible targeting: with no argument it scans every known source, otherwise a path, "issues", "review" or "security" narrows the extraction.
  • Inventories already-captured decisions (reading their description fields) before extracting, which curbs duplicates.
  • Presents extracted items in batches grouped by type for human approval instead of auto-creating notes.
  • Reusable past the first sprint, whenever a new knowledge source such as an audit or post-mortem lands.

Limitations

  • Assumes an existing vault layout (ops/config.yaml, templates/, decisions/, ops/health/), so it is not portable to other projects as-is.
  • A single source can yield 20 to 50 candidates; corpus quality depends entirely on how rich the input documents are.
  • Deduplication relies on a plain manual listing of existing descriptions, with no automatic merge or arbitration.
When to use it

Use it when standing up a new, empty PM vault or when a major new project knowledge source needs to enter the corpus.

When not to use it

Avoid it for recording a decision or issue from the current session; /pm-document's incremental extraction logic fits that case better.

Security analysis

Caution
Quality score86/100

The skill reads existing project documentation and writes markdown notes; the only shell snippet is a benign read-only inventory loop. There are no network calls, secret handling, destructive commands, obfuscation, or attempts to disable safety, but Bash and Write are powerful tools used for legitimate vault-seeding purposes.

Findings
  • •Allowed-tools includes Bash and the workflow includes shell commands; the commands shown are read-only inventory, but Bash is inherently powerful and could be misused by an agent.
How this analysis is made

Examples

Full bootstrap
/pm-seed — bootstrap the PM vault from all known project documentation sources
Security audit only
/pm-seed security — seed decisions from docs/Reports/SECURITY_AUDIT_2026-02-19.md
Specific file
/pm-seed docs/KNOWN_ISSUES.md — import the issue states into the vault

name: pm-seed description: Populate the PM knowledge system from existing project documentation — STATUS.md, KNOWN_ISSUES.md, PROJECT_STATE_REVIEW, security audit reports. The first-sprint bootstrap. Use once when the vault is new and existing project knowledge needs to be captured. Triggers on "/pm-seed", "seed from docs", "bootstrap vault", "import existing knowledge". user-invocable: true allowed-tools: Read, Write, Grep, Glob, Bash context: fork

Runtime Configuration (Step 0)

Read ops/derivation-manifest.md for vocabulary. Read ops/config.yaml for processing depth.


EXECUTE NOW

Target: $ARGUMENTS

Parse immediately:

  • If empty: seed from all known project documentation sources
  • If path provided: seed from that specific file
  • If "issues": seed from KNOWN_ISSUES.md only
  • If "review": seed from the PROJECT_STATE_REVIEW report only
  • If "security": seed from security audit reports only

START NOW.


Philosophy

The vault is only useful if it contains knowledge. /pm-seed closes the gap between "vault exists" and "vault is valuable."

When the PM knowledge system is first created, it is structurally complete but epistemically empty. The project has history — decisions were made, issues were discovered, sprints were run, architectural choices were documented — but none of it is in the vault yet. Every session without seeding is a session where the PM agent operates without institutional memory.

/pm-seed is the bootstrap operation. It reads existing project documentation and runs the same extraction logic as /pm-document, but with awareness that it is creating the initial corpus rather than enriching an existing one. The seeding process should be comprehensive — it is acceptable to err toward over-extraction here, since the /pm-retrospect loop will trim what doesn't prove useful.

/pm-seed is not a one-time operation. Run it whenever a major new source of project knowledge is added (a new audit report, a milestone post-mortem, a major architecture documentation).


Known Seed Sources

For this project, the following sources contain extractable decisions:

| Source | Location | Expected Decisions | |--------|----------|-------------------| | Project state review | docs/Reports/PROJECT_STATE_REVIEW_2026-02-19.md | Sprint records, issue states, health metrics, architectural decisions | | Security audit | docs/Reports/SECURITY_AUDIT_2026-02-19.md | Enforcement lessons, architectural decisions, issue states | | Status document | docs/STATUS.md | Feature status, tech facts, architectural decisions | | Known issues | docs/KNOWN_ISSUES.md | Issue states, tech facts | | Main context | .claude/CLAUDE.md | Tech facts, architectural decisions, enforcement lessons |


Workflow

1. Inventory Existing Decisions

Before seeding, understand what already exists to avoid duplicates:

for f in decisions/*.md; do
  [[ -f "$f" ]] && rg "^description:" "$f" | head -1
done

2. Read Each Source Fully

For each source file, read the entire content. Do not skim.

3. Extract with PM Categories

Apply the same extraction logic as /pm-document:

  • Architectural decisions → decisions/ (type: architectural)
  • Technology facts → decisions/ (type: tech-fact)
  • Enforcement lessons → decisions/ (type: enforcement)
  • Issue states → decisions/ (type: issue)
  • Sprint records → decisions/ (type: sprint-record)
  • Team patterns → ops/observations/
  • Tensions → ops/tensions/

4. Batch Present for Approval

Since seeding can produce 20-50 decisions from a single source, group them by type and present in batches. Do not auto-create.

5. Create Approved Decisions

Use templates/decision-note.md for all decision types. Use templates/sprint-record.md for sprint records. Use templates/observation-note.md for observations.

6. Seed the Health Log

After seeding sprint records, populate ops/health/health-log.md with the health trajectory:

## Health Log

| Sprint | Health Before | Health After | Delta | Key Change |
|--------|--------------|-------------|-------|------------|
| 1 | 31 | 45 | +14 | Security remediation |

Output Format

## Seed Extraction Complete — [source file]

### Found
- Architectural decisions: N
- Technology facts: N
- Enforcement lessons: N
- Issue states: N (open: N, resolved: N)
- Sprint records: N
- Team patterns: N
- Tensions: N

[Grouped presentation by type — same format as /pm-document]

---
APPROVE batch? (yes/select/reject)

Seed Quality Standards

The same quality gates as /pm-document apply:

  • Skip rate < 10% for project state reviews
  • Every issue in KNOWN_ISSUES.md becomes an issue decision
  • Every sprint mentioned in any document becomes a sprint-record decision
  • Tech facts (QFTest casing, class names, Docker patterns) become tech-fact decisions

The vault after seeding should be immediately useful — a new session should be able to read decisions/ and understand the full project history without reading the raw source documents.

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/seed-pm-knowledge-system-mrwakb8x/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/seed-pm-knowledge-system-mrwakb8x' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/seed-pm-knowledge-system-mrwakb8x/download' --output '.skill-downloads/seed-pm-knowledge-system-mrwakb8x/SKILL.md.part' && mv '.skill-downloads/seed-pm-knowledge-system-mrwakb8x/SKILL.md.part' '.skill-downloads/seed-pm-knowledge-system-mrwakb8x/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

Tools declared by the author (check availability in your agent): Read, Write, Grep, Glob, Bash

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/seed-pm-knowledge-system-mrwakb8x/SKILL.md' && test -s '.skill-downloads/seed-pm-knowledge-system-mrwakb8x/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/pm-seed' && cp -R '.skill-downloads/seed-pm-knowledge-system-mrwakb8x' '.claude/skills/pm-seed'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/seed-pm-knowledge-system-mrwakb8x'

openskills read 'seed-pm-knowledge-system-mrwakb8x'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/seed-pm-knowledge-system-mrwakb8x/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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