Quarterly re-scan of a prior PESTEL analysis. Use when checking which macro factors moved, which assumptions broke, and what's new — turning PESTEL from a workshop artifact into a radar.
npx skills add https://github.com/deanpeters/Product-Manager-Skills --skill pestel-delta-monitor
Refresh a PESTEL analysis by diffing each factor — Political, Economic, Social, Technological,
Environmental, Legal — against the prior run and reporting material movement only: **search plan
→ factor-by-factor diff → broken assumptions → new entrants to the frame → next-step options.** Macro
factors move slowly, which is exactly why teams stop looking; the value of a cadence is catching the
two factors that moved, not re-debating the twenty that didn't. Diffing also reveals which baseline
entries were live assumptions versus furniture — broken assumptions are the real output.
Works best with: the prior PESTEL analysis (pasted or attached) and the product/market scope it
covered — this skill *requires* a baseline to diff against.
Also useful: any events since the last run you already suspect matter — they get checked first.
Input supplied inline with the invocation — text after the skill name, a pasted context dump, or an
appended ARGUMENTS: line — counts as answers already given. Use it against the question budget;
don't re-ask.
Arriving empty-handed? This is the one investigation skill with a hard prerequisite: with no
baseline, it recommends running pestel-analysis first and stops —
there is nothing to diff. (That referral *is* the empty-handed path: you leave knowing exactly what
to do first.)
Example invocation: `PESTEL delta against the attached Q1 analysis — scope is our EU payments
product; I suspect the new AI liability directive matters.`
autonomous-investigationcontract — question budget of 2, search-plan gate, Fact/Inference/Assumption labels, Just Enough
Mode, stable schema, 4-option Final Step. Disciplines: GEOINT/DEMOINT statistics plus FININT
regulatory sources (see intelligence-collection-disciplines);
this is the annual/quarterly layer of the fusion cadence.
crossing thresholds your baseline named, technology maturation with adoption evidence, social
signals with data behind them. "No material movement" per factor is a valid and *common* result —
a quiet quarter reported honestly keeps the radar trusted.
ten new observations, because strategy was built on it. The diff exists to find these.
flag them for retirement at the next baseline refresh rather than re-scanning them forever.
the full PESTEL; never diff across a scope change.
invented regulation is this domain's signature fabrication risk.
pestel-analysisand stop. Scope changed since the baseline → recommend a fresh full analysis and stop.
target, not your general knowledge of the macro environment.
(suspected events first), source types (government and regulatory sources, central-bank and
statistical data, credible news, industry bodies, standards organizations), fact/inference
separation. Continue unless revised.
~~~markdown
Scope (from prior analysis): | Prior analysis date: | This run date:
For each of P / E / S / T / E / L:
Keep "no material movement" factors to a single line each.
Each bullet: label, confidence, URL where relevant.
~~~
A copy/paste fill-in version of this schema, with quality checks, lives in template.md.
Accept 1, 2, 3, 4, 1 and 2, Verbose Mode, or a custom path.
A factor that moved, traced to its assumption (fictional):
> ### Legal: moved
> - What moved: the data-residency provision cleared committee with an 18-month compliance
> window — Fact ([legislature record, URL, date])
> - Prior assumption affected: baseline entry L2 assumed "no residency mandate before 2028,"
> which justified deferring the regional storage architecture
> - Reading: the deferral logic is dead — Inference: the architecture decision moves from
> someday to next two roadmap quarters, and compliance becomes a sales asset in regulated verticals
> before it's a legal obligation.
A quiet quarter reported honestly: five factors show "no material movement" at one line each;
one Economic entry moved (a rate-path shift crossing the baseline's stated budget-gate threshold).
The report is half a page. That brevity *is* the radar working — the reader spends two minutes and
knows the strategy's macro floor held except where it didn't.
See examples/sample.md for a complete worked delta run (fictional
trades-software scope) with two broken assumptions traced to their baseline entries and furniture
flagged for retirement. examples/sample-industrial.md runs the
industrial scope, where the hot factors swap — tariffs, energy, disclosure rules — and threshold
crossings are distinguished from broken assumptions.
the workshop it was meant to replace. One line per quiet factor — the discipline is the product.
The bar is passed/credibly-proposed regulation, crossed thresholds, adoption evidence — not
discourse.
they contradict. The "prior assumption affected" line is what makes a delta actionable.
old scope's factors. Scope change = new baseline, always.
In this domain a fabricated citation isn't just wrong, it's a compliance risk for the reader —
the do-not-invent list is load-bearing.
pestel-analysis (Component) — builds the baseline this monitordiffs against; the pair turns PESTEL into an operating radar
autonomous-investigation (Workflow) — the governing protocolintelligence-collection-disciplines (Component) — GEOINT/DEMOINT statistical sources; regulatory registriesderisk-measurement-advisor (Interactive) — consumes broken assumptions as risk inputscompetitive-intel-watch (Workflow) — the competitor-level sibling of this macro-level watchmarket-intelligence/pestel-delta-monitor-prompt.md in thehttps://github.com/deanpeters/product-manager-prompts repo.
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take deanpeters/pestel-delta-monitor from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.